Overview

Dataset statistics

Number of variables58
Number of observations30
Missing cells749
Missing cells (%)43.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory468.4 B

Variable types

Numeric42
Categorical16

Alerts

squad has constant value ""Constant
red_card has constant value ""Constant
penalty_kicks_against has constant value ""Constant
penalty_kicks_saved has constant value ""Constant
penalty_kicks_missed has constant value ""Constant
id is highly overall correlated with passes_completed and 15 other fieldsHigh correlation
age is highly overall correlated with born and 15 other fieldsHigh correlation
born is highly overall correlated with age and 15 other fieldsHigh correlation
matches_played is highly overall correlated with starts and 38 other fieldsHigh correlation
starts is highly overall correlated with matches_played and 35 other fieldsHigh correlation
minutes is highly overall correlated with matches_played and 35 other fieldsHigh correlation
goals is highly overall correlated with matches_played and 41 other fieldsHigh correlation
assists is highly overall correlated with matches_played and 36 other fieldsHigh correlation
yellow_card is highly overall correlated with matches_played and 31 other fieldsHigh correlation
xG is highly overall correlated with matches_played and 41 other fieldsHigh correlation
npxG is highly overall correlated with matches_played and 41 other fieldsHigh correlation
xAG is highly overall correlated with matches_played and 40 other fieldsHigh correlation
PrgC is highly overall correlated with matches_played and 39 other fieldsHigh correlation
PrgP is highly overall correlated with matches_played and 32 other fieldsHigh correlation
PrgR is highly overall correlated with matches_played and 38 other fieldsHigh correlation
passes_completed is highly overall correlated with id and 24 other fieldsHigh correlation
passed_attempted is highly overall correlated with id and 25 other fieldsHigh correlation
passes_completed_pct is highly overall correlated with goals and 17 other fieldsHigh correlation
total_passing_distance is highly overall correlated with id and 24 other fieldsHigh correlation
progressive_passing_distance is highly overall correlated with id and 23 other fieldsHigh correlation
key_passes is highly overall correlated with id and 28 other fieldsHigh correlation
final_third_passes is highly overall correlated with id and 16 other fieldsHigh correlation
passes_into_penalty_area is highly overall correlated with id and 27 other fieldsHigh correlation
tackles is highly overall correlated with age and 27 other fieldsHigh correlation
attempts is highly overall correlated with age and 29 other fieldsHigh correlation
tackles_pct is highly overall correlated with id and 5 other fieldsHigh correlation
challenges_lost is highly overall correlated with age and 27 other fieldsHigh correlation
blocks is highly overall correlated with age and 25 other fieldsHigh correlation
shots_blocked is highly overall correlated with id and 27 other fieldsHigh correlation
passes_blocked is highly overall correlated with age and 27 other fieldsHigh correlation
interceptions is highly overall correlated with age and 27 other fieldsHigh correlation
clears is highly overall correlated with age and 24 other fieldsHigh correlation
shots is highly overall correlated with matches_played and 14 other fieldsHigh correlation
shots_on_target is highly overall correlated with matches_played and 17 other fieldsHigh correlation
shots_on_target_pct is highly overall correlated with goals and 10 other fieldsHigh correlation
goals_per_shot_on_target is highly overall correlated with matches_played and 6 other fieldsHigh correlation
goals_per_shot is highly overall correlated with goals and 8 other fieldsHigh correlation
goals_per_90 is highly overall correlated with matches_played and 36 other fieldsHigh correlation
assists_per_90 is highly overall correlated with matches_played and 37 other fieldsHigh correlation
goals_and_assists_per_90 is highly overall correlated with matches_played and 35 other fieldsHigh correlation
xG_per_90 is highly overall correlated with goals and 25 other fieldsHigh correlation
npxG_per_90 is highly overall correlated with goals and 27 other fieldsHigh correlation
player is highly overall correlated with id and 38 other fieldsHigh correlation
nation is highly overall correlated with passes_completed and 15 other fieldsHigh correlation
pos is highly overall correlated with passes_completed and 29 other fieldsHigh correlation
goals_against is highly overall correlated with id and 27 other fieldsHigh correlation
shots_on_target_against is highly overall correlated with id and 27 other fieldsHigh correlation
saves is highly overall correlated with id and 27 other fieldsHigh correlation
save_pct is highly overall correlated with id and 27 other fieldsHigh correlation
clean_sheets is highly overall correlated with id and 27 other fieldsHigh correlation
clean_sheets_pct is highly overall correlated with id and 27 other fieldsHigh correlation
crosses_into_penalty_area is highly overall correlated with minutes and 18 other fieldsHigh correlation
errors is highly overall correlated with attempts and 2 other fieldsHigh correlation
goals_against has 28 (93.3%) missing valuesMissing
shots_on_target_against has 28 (93.3%) missing valuesMissing
saves has 28 (93.3%) missing valuesMissing
save_pct has 28 (93.3%) missing valuesMissing
clean_sheets has 28 (93.3%) missing valuesMissing
clean_sheets_pct has 28 (93.3%) missing valuesMissing
penalty_kicks_against has 28 (93.3%) missing valuesMissing
penalty_kicks_saved has 28 (93.3%) missing valuesMissing
penalty_kicks_missed has 28 (93.3%) missing valuesMissing
passes_completed has 23 (76.7%) missing valuesMissing
passed_attempted has 23 (76.7%) missing valuesMissing
passes_completed_pct has 23 (76.7%) missing valuesMissing
total_passing_distance has 23 (76.7%) missing valuesMissing
progressive_passing_distance has 23 (76.7%) missing valuesMissing
key_passes has 23 (76.7%) missing valuesMissing
final_third_passes has 23 (76.7%) missing valuesMissing
passes_into_penalty_area has 23 (76.7%) missing valuesMissing
crosses_into_penalty_area has 23 (76.7%) missing valuesMissing
tackles has 18 (60.0%) missing valuesMissing
attempts has 18 (60.0%) missing valuesMissing
tackles_pct has 20 (66.7%) missing valuesMissing
challenges_lost has 18 (60.0%) missing valuesMissing
blocks has 18 (60.0%) missing valuesMissing
shots_blocked has 18 (60.0%) missing valuesMissing
passes_blocked has 18 (60.0%) missing valuesMissing
interceptions has 18 (60.0%) missing valuesMissing
clears has 18 (60.0%) missing valuesMissing
errors has 18 (60.0%) missing valuesMissing
shots has 21 (70.0%) missing valuesMissing
shots_on_target has 21 (70.0%) missing valuesMissing
shots_on_target_pct has 22 (73.3%) missing valuesMissing
goals_per_shot_on_target has 22 (73.3%) missing valuesMissing
goals_per_shot has 22 (73.3%) missing valuesMissing
player is uniformly distributedUniform
goals_against is uniformly distributedUniform
shots_on_target_against is uniformly distributedUniform
saves is uniformly distributedUniform
save_pct is uniformly distributedUniform
clean_sheets is uniformly distributedUniform
clean_sheets_pct is uniformly distributedUniform
id has unique valuesUnique
minutes has unique valuesUnique
starts has 6 (20.0%) zerosZeros
goals has 13 (43.3%) zerosZeros
assists has 14 (46.7%) zerosZeros
yellow_card has 10 (33.3%) zerosZeros
xG has 7 (23.3%) zerosZeros
npxG has 7 (23.3%) zerosZeros
xAG has 7 (23.3%) zerosZeros
PrgC has 4 (13.3%) zerosZeros
PrgP has 3 (10.0%) zerosZeros
PrgR has 4 (13.3%) zerosZeros
key_passes has 1 (3.3%) zerosZeros
passes_into_penalty_area has 1 (3.3%) zerosZeros
tackles has 2 (6.7%) zerosZeros
attempts has 2 (6.7%) zerosZeros
challenges_lost has 4 (13.3%) zerosZeros
blocks has 3 (10.0%) zerosZeros
shots_blocked has 3 (10.0%) zerosZeros
passes_blocked has 4 (13.3%) zerosZeros
interceptions has 2 (6.7%) zerosZeros
clears has 2 (6.7%) zerosZeros
shots has 1 (3.3%) zerosZeros
shots_on_target has 1 (3.3%) zerosZeros
goals_per_shot_on_target has 1 (3.3%) zerosZeros
goals_per_shot has 1 (3.3%) zerosZeros
goals_per_90 has 13 (43.3%) zerosZeros
assists_per_90 has 14 (46.7%) zerosZeros
goals_and_assists_per_90 has 12 (40.0%) zerosZeros
xG_per_90 has 7 (23.3%) zerosZeros
npxG_per_90 has 7 (23.3%) zerosZeros

Reproduction

Analysis started2023-05-09 10:05:16.450510
Analysis finished2023-05-09 10:07:49.551345
Duration2 minutes and 33.1 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

id
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259.36667
Minimum3
Maximum498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:14.078316image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile47.85
Q1165
median297
Q3367.25
95-th percentile428.45
Maximum498
Range495
Interquartile range (IQR)202.25

Descriptive statistics

Standard deviation136.32656
Coefficient of variation (CV)0.52561325
Kurtosis-0.99054981
Mean259.36667
Median Absolute Deviation (MAD)91.5
Skewness-0.38462853
Sum7781
Variance18584.93
MonotonicityNot monotonic
2023-05-09T12:14:14.234543image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
238 1
 
3.3%
295 1
 
3.3%
318 1
 
3.3%
303 1
 
3.3%
299 1
 
3.3%
278 1
 
3.3%
180 1
 
3.3%
174 1
 
3.3%
68 1
 
3.3%
3 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3 1
3.3%
42 1
3.3%
55 1
3.3%
68 1
3.3%
72 1
3.3%
85 1
3.3%
90 1
3.3%
162 1
3.3%
174 1
3.3%
180 1
3.3%
ValueCountFrequency (%)
498 1
3.3%
446 1
3.3%
407 1
3.3%
389 1
3.3%
388 1
3.3%
383 1
3.3%
377 1
3.3%
375 1
3.3%
344 1
3.3%
343 1
3.3%

player
Categorical

HIGH CORRELATION  UNIFORM 

Distinct29
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Julian Ryerson
 
2
Gregor Kobel
 
1
Tom Rothe
 
1
Justin Njinmah
 
1
Youssoufa Moukoko
 
1
Other values (24)
24 

Length

Max length21
Median length17
Mean length13.8
Min length8

Characters and Unicode

Total characters414
Distinct characters50
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)93.3%

Sample

1st rowGregor Kobel
2nd rowAlexander Meyer
3rd rowJude Bellingham
4th rowJulian Brandt
5th rowEmre Can

Common Values

ValueCountFrequency (%)
Julian Ryerson 2
 
6.7%
Gregor Kobel 1
 
3.3%
Tom Rothe 1
 
3.3%
Justin Njinmah 1
 
3.3%
Youssoufa Moukoko 1
 
3.3%
Anthony Modeste 1
 
3.3%
Donyell Malen 1
 
3.3%
Thorgan Hazard 1
 
3.3%
Sébastien Haller 1
 
3.3%
Jamie Bynoe-Gittens 1
 
3.3%
Other values (19) 19
63.3%

Length

2023-05-09T12:14:14.389604image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
julian 3
 
5.0%
ryerson 2
 
3.3%
marco 2
 
3.3%
bellingham 1
 
1.7%
soumaïla 1
 
1.7%
alexander 1
 
1.7%
meyer 1
 
1.7%
antonios 1
 
1.7%
papadopoulos 1
 
1.7%
thomas 1
 
1.7%
Other values (46) 46
76.7%

Most occurring characters

ValueCountFrequency (%)
a 39
 
9.4%
e 34
 
8.2%
o 33
 
8.0%
30
 
7.2%
l 26
 
6.3%
n 24
 
5.8%
i 22
 
5.3%
r 20
 
4.8%
u 18
 
4.3%
s 18
 
4.3%
Other values (40) 150
36.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 322
77.8%
Uppercase Letter 61
 
14.7%
Space Separator 30
 
7.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 39
12.1%
e 34
10.6%
o 33
10.2%
l 26
 
8.1%
n 24
 
7.5%
i 22
 
6.8%
r 20
 
6.2%
u 18
 
5.6%
s 18
 
5.6%
t 12
 
3.7%
Other values (19) 76
23.6%
Uppercase Letter
ValueCountFrequency (%)
M 10
16.4%
J 6
9.8%
R 6
9.8%
S 5
 
8.2%
G 4
 
6.6%
A 4
 
6.6%
T 3
 
4.9%
P 3
 
4.9%
H 3
 
4.9%
B 3
 
4.9%
Other values (9) 14
23.0%
Space Separator
ValueCountFrequency (%)
30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 383
92.5%
Common 31
 
7.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 39
 
10.2%
e 34
 
8.9%
o 33
 
8.6%
l 26
 
6.8%
n 24
 
6.3%
i 22
 
5.7%
r 20
 
5.2%
u 18
 
4.7%
s 18
 
4.7%
t 12
 
3.1%
Other values (38) 137
35.8%
Common
ValueCountFrequency (%)
30
96.8%
- 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 407
98.3%
None 7
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 39
 
9.6%
e 34
 
8.4%
o 33
 
8.1%
30
 
7.4%
l 26
 
6.4%
n 24
 
5.9%
i 22
 
5.4%
r 20
 
4.9%
u 18
 
4.4%
s 18
 
4.4%
Other values (33) 143
35.1%
None
ValueCountFrequency (%)
Ö 1
14.3%
ć 1
14.3%
Å¡ 1
14.3%
ï 1
14.3%
ë 1
14.3%
ü 1
14.3%
é 1
14.3%

nation
Categorical

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
GER
15 
ENG
FRA
BEL
NOR
Other values (7)

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters90
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)23.3%

Sample

1st rowSUI
2nd rowGER
3rd rowENG
4th rowGER
5th rowGER

Common Values

ValueCountFrequency (%)
GER 15
50.0%
ENG 2
 
6.7%
FRA 2
 
6.7%
BEL 2
 
6.7%
NOR 2
 
6.7%
SUI 1
 
3.3%
TUR 1
 
3.3%
CRO 1
 
3.3%
POR 1
 
3.3%
CIV 1
 
3.3%
Other values (2) 2
 
6.7%

Length

2023-05-09T12:14:14.540563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
ger 15
50.0%
eng 2
 
6.7%
fra 2
 
6.7%
bel 2
 
6.7%
nor 2
 
6.7%
sui 1
 
3.3%
tur 1
 
3.3%
cro 1
 
3.3%
por 1
 
3.3%
civ 1
 
3.3%
Other values (2) 2
 
6.7%

Most occurring characters

ValueCountFrequency (%)
R 22
24.4%
E 20
22.2%
G 17
18.9%
N 5
 
5.6%
O 4
 
4.4%
A 3
 
3.3%
U 3
 
3.3%
B 2
 
2.2%
L 2
 
2.2%
F 2
 
2.2%
Other values (7) 10
11.1%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 90
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
R 22
24.4%
E 20
22.2%
G 17
18.9%
N 5
 
5.6%
O 4
 
4.4%
A 3
 
3.3%
U 3
 
3.3%
B 2
 
2.2%
L 2
 
2.2%
F 2
 
2.2%
Other values (7) 10
11.1%

Most occurring scripts

ValueCountFrequency (%)
Latin 90
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
R 22
24.4%
E 20
22.2%
G 17
18.9%
N 5
 
5.6%
O 4
 
4.4%
A 3
 
3.3%
U 3
 
3.3%
B 2
 
2.2%
L 2
 
2.2%
F 2
 
2.2%
Other values (7) 10
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
R 22
24.4%
E 20
22.2%
G 17
18.9%
N 5
 
5.6%
O 4
 
4.4%
A 3
 
3.3%
U 3
 
3.3%
B 2
 
2.2%
L 2
 
2.2%
F 2
 
2.2%
Other values (7) 10
11.1%

pos
Categorical

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
DF
12 
FW
MF
GK

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters60
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowGK
2nd rowGK
3rd rowMF
4th rowMF
5th rowMF

Common Values

ValueCountFrequency (%)
DF 12
40.0%
FW 9
30.0%
MF 7
23.3%
GK 2
 
6.7%

Length

2023-05-09T12:14:14.681187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:14.845550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
df 12
40.0%
fw 9
30.0%
mf 7
23.3%
gk 2
 
6.7%

Most occurring characters

ValueCountFrequency (%)
F 28
46.7%
D 12
20.0%
W 9
 
15.0%
M 7
 
11.7%
G 2
 
3.3%
K 2
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 60
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
F 28
46.7%
D 12
20.0%
W 9
 
15.0%
M 7
 
11.7%
G 2
 
3.3%
K 2
 
3.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 60
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
F 28
46.7%
D 12
20.0%
W 9
 
15.0%
M 7
 
11.7%
G 2
 
3.3%
K 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
F 28
46.7%
D 12
20.0%
W 9
 
15.0%
M 7
 
11.7%
G 2
 
3.3%
K 2
 
3.3%

squad
Categorical

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Dortmund
30 

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters240
Distinct characters8
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDortmund
2nd rowDortmund
3rd rowDortmund
4th rowDortmund
5th rowDortmund

Common Values

ValueCountFrequency (%)
Dortmund 30
100.0%

Length

2023-05-09T12:14:14.995544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:15.136274image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
dortmund 30
100.0%

Most occurring characters

ValueCountFrequency (%)
D 30
12.5%
o 30
12.5%
r 30
12.5%
t 30
12.5%
m 30
12.5%
u 30
12.5%
n 30
12.5%
d 30
12.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 210
87.5%
Uppercase Letter 30
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 30
14.3%
r 30
14.3%
t 30
14.3%
m 30
14.3%
u 30
14.3%
n 30
14.3%
d 30
14.3%
Uppercase Letter
ValueCountFrequency (%)
D 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 240
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
D 30
12.5%
o 30
12.5%
r 30
12.5%
t 30
12.5%
m 30
12.5%
u 30
12.5%
n 30
12.5%
d 30
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
D 30
12.5%
o 30
12.5%
r 30
12.5%
t 30
12.5%
m 30
12.5%
u 30
12.5%
n 30
12.5%
d 30
12.5%

age
Real number (ℝ)

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.333333
Minimum18
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:15.271686image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile18
Q122
median25
Q328.75
95-th percentile33.55
Maximum35
Range17
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation4.9013252
Coefficient of variation (CV)0.19347336
Kurtosis-0.75583598
Mean25.333333
Median Absolute Deviation (MAD)3.5
Skewness0.2172052
Sum760
Variance24.022989
MonotonicityNot monotonic
2023-05-09T12:14:15.405874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
25 4
13.3%
27 4
13.3%
18 3
10.0%
19 2
 
6.7%
29 2
 
6.7%
22 2
 
6.7%
23 2
 
6.7%
24 2
 
6.7%
21 1
 
3.3%
35 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
18 3
10.0%
19 2
6.7%
20 1
 
3.3%
21 1
 
3.3%
22 2
6.7%
23 2
6.7%
24 2
6.7%
25 4
13.3%
27 4
13.3%
28 1
 
3.3%
ValueCountFrequency (%)
35 1
 
3.3%
34 1
 
3.3%
33 1
 
3.3%
32 1
 
3.3%
31 1
 
3.3%
30 1
 
3.3%
29 2
6.7%
28 1
 
3.3%
27 4
13.3%
25 4
13.3%

born
Real number (ℝ)

Distinct14
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1996.9667
Minimum1988
Maximum2004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:15.560907image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1988
5-th percentile1988.45
Q11994
median1997
Q32000
95-th percentile2004
Maximum2004
Range16
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.7668636
Coefficient of variation (CV)0.0023870522
Kurtosis-0.73535967
Mean1996.9667
Median Absolute Deviation (MAD)3
Skewness-0.25414578
Sum59909
Variance22.722989
MonotonicityNot monotonic
2023-05-09T12:14:15.717773image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1997 3
10.0%
1999 3
10.0%
2004 3
10.0%
1991 2
 
6.7%
2003 2
 
6.7%
1996 2
 
6.7%
1994 2
 
6.7%
1998 2
 
6.7%
2000 2
 
6.7%
1993 2
 
6.7%
Other values (4) 7
23.3%
ValueCountFrequency (%)
1988 2
6.7%
1989 1
 
3.3%
1991 2
6.7%
1993 2
6.7%
1994 2
6.7%
1995 2
6.7%
1996 2
6.7%
1997 3
10.0%
1998 2
6.7%
1999 3
10.0%
ValueCountFrequency (%)
2004 3
10.0%
2003 2
6.7%
2002 2
6.7%
2000 2
6.7%
1999 3
10.0%
1998 2
6.7%
1997 3
10.0%
1996 2
6.7%
1995 2
6.7%
1994 2
6.7%

matches_played
Real number (ℝ)

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.366667
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:15.938624image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q19.25
median18.5
Q324
95-th percentile28.1
Maximum30
Range29
Interquartile range (IQR)14.75

Descriptive statistics

Standard deviation9.5248616
Coefficient of variation (CV)0.5819671
Kurtosis-1.1434089
Mean16.366667
Median Absolute Deviation (MAD)5.5
Skewness-0.45194592
Sum491
Variance90.722989
MonotonicityNot monotonic
2023-05-09T12:14:16.109767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
24 5
16.7%
1 4
 
13.3%
14 2
 
6.7%
22 2
 
6.7%
27 2
 
6.7%
18 1
 
3.3%
23 1
 
3.3%
16 1
 
3.3%
15 1
 
3.3%
21 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
1 4
13.3%
2 1
 
3.3%
3 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
10 1
 
3.3%
13 1
 
3.3%
14 2
6.7%
15 1
 
3.3%
16 1
 
3.3%
ValueCountFrequency (%)
30 1
 
3.3%
29 1
 
3.3%
27 2
 
6.7%
26 1
 
3.3%
24 5
16.7%
23 1
 
3.3%
22 2
 
6.7%
21 1
 
3.3%
19 1
 
3.3%
18 1
 
3.3%

starts
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.766667
Minimum0
Maximum29
Zeros6
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:16.282329image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median12
Q318.5
95-th percentile26.55
Maximum29
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation9.3021441
Coefficient of variation (CV)0.79055049
Kurtosis-1.1765546
Mean11.766667
Median Absolute Deviation (MAD)8
Skewness0.2271121
Sum353
Variance86.529885
MonotonicityNot monotonic
2023-05-09T12:14:16.420690image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 6
20.0%
7 3
10.0%
17 3
10.0%
4 3
10.0%
14 3
10.0%
24 2
 
6.7%
12 2
 
6.7%
29 1
 
3.3%
26 1
 
3.3%
21 1
 
3.3%
Other values (5) 5
16.7%
ValueCountFrequency (%)
0 6
20.0%
2 1
 
3.3%
4 3
10.0%
7 3
10.0%
11 1
 
3.3%
12 2
 
6.7%
14 3
10.0%
17 3
10.0%
19 1
 
3.3%
20 1
 
3.3%
ValueCountFrequency (%)
29 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
24 2
6.7%
21 1
 
3.3%
20 1
 
3.3%
19 1
 
3.3%
17 3
10.0%
14 3
10.0%
12 2
6.7%

minutes
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1057.5667
Minimum11
Maximum2601
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:16.596651image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile17.05
Q1481.25
median1060.5
Q31603.75
95-th percentile2218.6
Maximum2601
Range2590
Interquartile range (IQR)1122.5

Descriptive statistics

Standard deviation778.54602
Coefficient of variation (CV)0.73616732
Kurtosis-1.0204336
Mean1057.5667
Median Absolute Deviation (MAD)583
Skewness0.23075643
Sum31727
Variance606133.91
MonotonicityNot monotonic
2023-05-09T12:14:16.785916image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2160 1
 
3.3%
630 1
 
3.3%
22 1
 
3.3%
1084 1
 
3.3%
802 1
 
3.3%
1487 1
 
3.3%
464 1
 
3.3%
967 1
 
3.3%
533 1
 
3.3%
1186 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
11 1
3.3%
13 1
3.3%
22 1
3.3%
26 1
3.3%
45 1
3.3%
64 1
3.3%
337 1
3.3%
464 1
3.3%
533 1
3.3%
574 1
3.3%
ValueCountFrequency (%)
2601 1
3.3%
2251 1
3.3%
2179 1
3.3%
2160 1
3.3%
2089 1
3.3%
1848 1
3.3%
1781 1
3.3%
1630 1
3.3%
1525 1
3.3%
1487 1
3.3%

goals
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3666667
Minimum0
Maximum8
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:16.952948image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34.75
95-th percentile7.55
Maximum8
Range8
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation2.8585424
Coefficient of variation (CV)1.2078348
Kurtosis-0.83669795
Mean2.3666667
Median Absolute Deviation (MAD)1
Skewness0.85548897
Sum71
Variance8.1712644
MonotonicityNot monotonic
2023-05-09T12:14:17.115156image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 13
43.3%
1 4
 
13.3%
6 3
 
10.0%
7 2
 
6.7%
8 2
 
6.7%
2 2
 
6.7%
3 2
 
6.7%
4 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 13
43.3%
1 4
 
13.3%
2 2
 
6.7%
3 2
 
6.7%
4 1
 
3.3%
5 1
 
3.3%
6 3
 
10.0%
7 2
 
6.7%
8 2
 
6.7%
ValueCountFrequency (%)
8 2
 
6.7%
7 2
 
6.7%
6 3
 
10.0%
5 1
 
3.3%
4 1
 
3.3%
3 2
 
6.7%
2 2
 
6.7%
1 4
 
13.3%
0 13
43.3%

assists
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8666667
Minimum0
Maximum12
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:17.262765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6.65
Maximum12
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7883172
Coefficient of variation (CV)1.4937413
Kurtosis5.3062138
Mean1.8666667
Median Absolute Deviation (MAD)1
Skewness2.1307783
Sum56
Variance7.7747126
MonotonicityNot monotonic
2023-05-09T12:14:17.445763image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 14
46.7%
1 6
20.0%
4 4
 
13.3%
3 3
 
10.0%
8 1
 
3.3%
12 1
 
3.3%
5 1
 
3.3%
ValueCountFrequency (%)
0 14
46.7%
1 6
20.0%
3 3
 
10.0%
4 4
 
13.3%
5 1
 
3.3%
8 1
 
3.3%
12 1
 
3.3%
ValueCountFrequency (%)
12 1
 
3.3%
8 1
 
3.3%
5 1
 
3.3%
4 4
 
13.3%
3 3
 
10.0%
1 6
20.0%
0 14
46.7%

yellow_card
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1333333
Minimum0
Maximum8
Zeros10
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:17.628571image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q33
95-th percentile7.55
Maximum8
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.4315928
Coefficient of variation (CV)1.1398091
Kurtosis0.79620807
Mean2.1333333
Median Absolute Deviation (MAD)1.5
Skewness1.2677714
Sum64
Variance5.9126437
MonotonicityNot monotonic
2023-05-09T12:14:17.742916image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 10
33.3%
2 6
20.0%
1 5
16.7%
4 3
 
10.0%
8 2
 
6.7%
3 2
 
6.7%
7 1
 
3.3%
6 1
 
3.3%
ValueCountFrequency (%)
0 10
33.3%
1 5
16.7%
2 6
20.0%
3 2
 
6.7%
4 3
 
10.0%
6 1
 
3.3%
7 1
 
3.3%
8 2
 
6.7%
ValueCountFrequency (%)
8 2
 
6.7%
7 1
 
3.3%
6 1
 
3.3%
4 3
 
10.0%
3 2
 
6.7%
2 6
20.0%
1 5
16.7%
0 10
33.3%

red_card
Categorical

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters30
Distinct characters1
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2023-05-09T12:14:17.868357image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:17.960113image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

Most occurring characters

ValueCountFrequency (%)
0 30
100.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30
100.0%

xG
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0633333
Minimum0
Maximum7.3
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:18.038341image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.125
median1.3
Q33.85
95-th percentile6.685
Maximum7.3
Range7.3
Interquartile range (IQR)3.725

Descriptive statistics

Standard deviation2.2965466
Coefficient of variation (CV)1.1130274
Kurtosis-0.17934459
Mean2.0633333
Median Absolute Deviation (MAD)1.3
Skewness1.0019338
Sum61.9
Variance5.2741264
MonotonicityNot monotonic
2023-05-09T12:14:18.116561image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 7
23.3%
1.3 2
 
6.7%
0.2 2
 
6.7%
1.7 2
 
6.7%
1.6 1
 
3.3%
6.3 1
 
3.3%
4.3 1
 
3.3%
7.3 1
 
3.3%
5.1 1
 
3.3%
2.4 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 7
23.3%
0.1 1
 
3.3%
0.2 2
 
6.7%
0.4 1
 
3.3%
0.5 1
 
3.3%
0.7 1
 
3.3%
1.1 1
 
3.3%
1.3 2
 
6.7%
1.6 1
 
3.3%
1.7 2
 
6.7%
ValueCountFrequency (%)
7.3 1
3.3%
7 1
3.3%
6.3 1
3.3%
5.1 1
3.3%
4.7 1
3.3%
4.6 1
3.3%
4.3 1
3.3%
4.1 1
3.3%
3.1 1
3.3%
2.4 1
3.3%

npxG
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9566667
Minimum0
Maximum7.3
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:18.335050image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.125
median1.2
Q33.45
95-th percentile6.685
Maximum7.3
Range7.3
Interquartile range (IQR)3.325

Descriptive statistics

Standard deviation2.2472486
Coefficient of variation (CV)1.1485087
Kurtosis0.22936696
Mean1.9566667
Median Absolute Deviation (MAD)1.2
Skewness1.1318518
Sum58.7
Variance5.0501264
MonotonicityNot monotonic
2023-05-09T12:14:18.412987image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 7
23.3%
0.5 2
 
6.7%
0.2 2
 
6.7%
1.7 2
 
6.7%
1.1 1
 
3.3%
6.3 1
 
3.3%
4.3 1
 
3.3%
7.3 1
 
3.3%
1.3 1
 
3.3%
5.1 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 7
23.3%
0.1 1
 
3.3%
0.2 2
 
6.7%
0.4 1
 
3.3%
0.5 2
 
6.7%
0.7 1
 
3.3%
1.1 1
 
3.3%
1.3 1
 
3.3%
1.6 1
 
3.3%
1.7 2
 
6.7%
ValueCountFrequency (%)
7.3 1
3.3%
7 1
3.3%
6.3 1
3.3%
5.1 1
3.3%
4.3 1
3.3%
4.1 1
3.3%
3.9 1
3.3%
3.8 1
3.3%
2.4 1
3.3%
2.3 1
3.3%

xAG
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5533333
Minimum0
Maximum8.8
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:18.493463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4
median0.85
Q32.05
95-th percentile5.44
Maximum8.8
Range8.8
Interquartile range (IQR)1.65

Descriptive statistics

Standard deviation2.0343148
Coefficient of variation (CV)1.3096447
Kurtosis5.5040738
Mean1.5533333
Median Absolute Deviation (MAD)0.85
Skewness2.244414
Sum46.6
Variance4.1384368
MonotonicityNot monotonic
2023-05-09T12:14:18.571484image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 7
23.3%
0.5 2
 
6.7%
0.4 2
 
6.7%
1.1 2
 
6.7%
0.7 2
 
6.7%
8.8 1
 
3.3%
2.1 1
 
3.3%
6.7 1
 
3.3%
0.8 1
 
3.3%
0.6 1
 
3.3%
Other values (10) 10
33.3%
ValueCountFrequency (%)
0 7
23.3%
0.4 2
 
6.7%
0.5 2
 
6.7%
0.6 1
 
3.3%
0.7 2
 
6.7%
0.8 1
 
3.3%
0.9 1
 
3.3%
1 1
 
3.3%
1.1 2
 
6.7%
1.2 1
 
3.3%
ValueCountFrequency (%)
8.8 1
3.3%
6.7 1
3.3%
3.9 1
3.3%
3.6 1
3.3%
3.4 1
3.3%
2.6 1
3.3%
2.2 1
3.3%
2.1 1
3.3%
1.9 1
3.3%
1.5 1
3.3%

PrgC
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.6
Minimum0
Maximum91
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:18.649674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median18.5
Q336.75
95-th percentile69.5
Maximum91
Range91
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation24.519661
Coefficient of variation (CV)1.0849408
Kurtosis0.88167324
Mean22.6
Median Absolute Deviation (MAD)17
Skewness1.2029532
Sum678
Variance601.21379
MonotonicityNot monotonic
2023-05-09T12:14:18.728288image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 4
 
13.3%
1 3
 
10.0%
20 2
 
6.7%
42 2
 
6.7%
5 2
 
6.7%
3 1
 
3.3%
74 1
 
3.3%
21 1
 
3.3%
24 1
 
3.3%
51 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0 4
13.3%
1 3
10.0%
2 1
 
3.3%
3 1
 
3.3%
5 2
6.7%
6 1
 
3.3%
7 1
 
3.3%
9 1
 
3.3%
17 1
 
3.3%
20 2
6.7%
ValueCountFrequency (%)
91 1
3.3%
74 1
3.3%
64 1
3.3%
52 1
3.3%
51 1
3.3%
42 2
6.7%
39 1
3.3%
30 1
3.3%
28 1
3.3%
24 1
3.3%

PrgP
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.633333
Minimum0
Maximum242
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:18.790812image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.25
median29
Q375
95-th percentile161.85
Maximum242
Range242
Interquartile range (IQR)67.75

Descriptive statistics

Standard deviation58.124411
Coefficient of variation (CV)1.1951558
Kurtosis3.3301691
Mean48.633333
Median Absolute Deviation (MAD)24.5
Skewness1.785676
Sum1459
Variance3378.4471
MonotonicityNot monotonic
2023-05-09T12:14:18.869438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 3
 
10.0%
75 3
 
10.0%
104 2
 
6.7%
1 2
 
6.7%
44 1
 
3.3%
11 1
 
3.3%
7 1
 
3.3%
48 1
 
3.3%
28 1
 
3.3%
17 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0 3
10.0%
1 2
6.7%
3 1
 
3.3%
6 1
 
3.3%
7 1
 
3.3%
8 1
 
3.3%
9 1
 
3.3%
11 1
 
3.3%
17 1
 
3.3%
22 1
 
3.3%
ValueCountFrequency (%)
242 1
 
3.3%
165 1
 
3.3%
158 1
 
3.3%
104 2
6.7%
87 1
 
3.3%
75 3
10.0%
48 1
 
3.3%
45 1
 
3.3%
44 1
 
3.3%
37 1
 
3.3%

PrgR
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.2
Minimum0
Maximum187
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:18.945102image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median36.5
Q354.25
95-th percentile146.35
Maximum187
Range187
Interquartile range (IQR)50.25

Descriptive statistics

Standard deviation52.99473
Coefficient of variation (CV)1.0994757
Kurtosis0.48521555
Mean48.2
Median Absolute Deviation (MAD)32.5
Skewness1.1847588
Sum1446
Variance2808.4414
MonotonicityNot monotonic
2023-05-09T12:14:19.019615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 4
 
13.3%
4 2
 
6.7%
50 2
 
6.7%
2 2
 
6.7%
118 2
 
6.7%
52 2
 
6.7%
32 1
 
3.3%
35 1
 
3.3%
154 1
 
3.3%
38 1
 
3.3%
Other values (12) 12
40.0%
ValueCountFrequency (%)
0 4
13.3%
2 2
6.7%
3 1
 
3.3%
4 2
6.7%
6 1
 
3.3%
9 1
 
3.3%
14 1
 
3.3%
21 1
 
3.3%
32 1
 
3.3%
35 1
 
3.3%
ValueCountFrequency (%)
187 1
3.3%
154 1
3.3%
137 1
3.3%
134 1
3.3%
118 2
6.7%
73 1
3.3%
55 1
3.3%
52 2
6.7%
51 1
3.3%
50 2
6.7%

goals_against
Categorical

HIGH CORRELATION  MISSING  UNIFORM 

Distinct2
Distinct (%)100.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
28.0
12.0

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters8
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row28.0
2nd row12.0

Common Values

ValueCountFrequency (%)
28.0 1
 
3.3%
12.0 1
 
3.3%
(Missing) 28
93.3%

Length

2023-05-09T12:14:19.097739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:19.175867image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
28.0 1
50.0%
12.0 1
50.0%

Most occurring characters

ValueCountFrequency (%)
2 2
25.0%
. 2
25.0%
0 2
25.0%
8 1
12.5%
1 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6
75.0%
Other Punctuation 2
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2
33.3%
0 2
33.3%
8 1
16.7%
1 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2
25.0%
. 2
25.0%
0 2
25.0%
8 1
12.5%
1 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2
25.0%
. 2
25.0%
0 2
25.0%
8 1
12.5%
1 1
12.5%

shots_on_target_against
Categorical

HIGH CORRELATION  MISSING  UNIFORM 

Distinct2
Distinct (%)100.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
107.0
32.0

Length

Max length5
Median length4.5
Mean length4.5
Min length4

Characters and Unicode

Total characters9
Distinct characters6
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row107.0
2nd row32.0

Common Values

ValueCountFrequency (%)
107.0 1
 
3.3%
32.0 1
 
3.3%
(Missing) 28
93.3%

Length

2023-05-09T12:14:19.244668image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:19.322810image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
107.0 1
50.0%
32.0 1
50.0%

Most occurring characters

ValueCountFrequency (%)
0 3
33.3%
. 2
22.2%
1 1
 
11.1%
7 1
 
11.1%
3 1
 
11.1%
2 1
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7
77.8%
Other Punctuation 2
 
22.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3
42.9%
1 1
 
14.3%
7 1
 
14.3%
3 1
 
14.3%
2 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3
33.3%
. 2
22.2%
1 1
 
11.1%
7 1
 
11.1%
3 1
 
11.1%
2 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3
33.3%
. 2
22.2%
1 1
 
11.1%
7 1
 
11.1%
3 1
 
11.1%
2 1
 
11.1%

saves
Categorical

HIGH CORRELATION  MISSING  UNIFORM 

Distinct2
Distinct (%)100.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
80.0
20.0

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters8
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row80.0
2nd row20.0

Common Values

ValueCountFrequency (%)
80.0 1
 
3.3%
20.0 1
 
3.3%
(Missing) 28
93.3%

Length

2023-05-09T12:14:19.397620image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:19.477039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
80.0 1
50.0%
20.0 1
50.0%

Most occurring characters

ValueCountFrequency (%)
0 4
50.0%
. 2
25.0%
8 1
 
12.5%
2 1
 
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6
75.0%
Other Punctuation 2
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
66.7%
8 1
 
16.7%
2 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4
50.0%
. 2
25.0%
8 1
 
12.5%
2 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
50.0%
. 2
25.0%
8 1
 
12.5%
2 1
 
12.5%

save_pct
Categorical

HIGH CORRELATION  MISSING  UNIFORM 

Distinct2
Distinct (%)100.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
73.8
62.5

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters8
Distinct characters7
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row73.8
2nd row62.5

Common Values

ValueCountFrequency (%)
73.8 1
 
3.3%
62.5 1
 
3.3%
(Missing) 28
93.3%

Length

2023-05-09T12:14:19.538229image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:19.616452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
73.8 1
50.0%
62.5 1
50.0%

Most occurring characters

ValueCountFrequency (%)
. 2
25.0%
7 1
12.5%
3 1
12.5%
8 1
12.5%
6 1
12.5%
2 1
12.5%
5 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6
75.0%
Other Punctuation 2
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1
16.7%
3 1
16.7%
8 1
16.7%
6 1
16.7%
2 1
16.7%
5 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2
25.0%
7 1
12.5%
3 1
12.5%
8 1
12.5%
6 1
12.5%
2 1
12.5%
5 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2
25.0%
7 1
12.5%
3 1
12.5%
8 1
12.5%
6 1
12.5%
2 1
12.5%
5 1
12.5%

clean_sheets
Categorical

HIGH CORRELATION  MISSING  UNIFORM 

Distinct2
Distinct (%)100.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
10.0
1.0

Length

Max length4
Median length3.5
Mean length3.5
Min length3

Characters and Unicode

Total characters7
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row10.0
2nd row1.0

Common Values

ValueCountFrequency (%)
10.0 1
 
3.3%
1.0 1
 
3.3%
(Missing) 28
93.3%

Length

2023-05-09T12:14:19.682150image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:19.762143image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
10.0 1
50.0%
1.0 1
50.0%

Most occurring characters

ValueCountFrequency (%)
0 3
42.9%
1 2
28.6%
. 2
28.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5
71.4%
Other Punctuation 2
 
28.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3
60.0%
1 2
40.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3
42.9%
1 2
28.6%
. 2
28.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3
42.9%
1 2
28.6%
. 2
28.6%

clean_sheets_pct
Categorical

HIGH CORRELATION  MISSING  UNIFORM 

Distinct2
Distinct (%)100.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
41.7
14.3

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters8
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row41.7
2nd row14.3

Common Values

ValueCountFrequency (%)
41.7 1
 
3.3%
14.3 1
 
3.3%
(Missing) 28
93.3%

Length

2023-05-09T12:14:19.824633image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:19.917555image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
41.7 1
50.0%
14.3 1
50.0%

Most occurring characters

ValueCountFrequency (%)
4 2
25.0%
1 2
25.0%
. 2
25.0%
7 1
12.5%
3 1
12.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6
75.0%
Other Punctuation 2
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 2
33.3%
1 2
33.3%
7 1
16.7%
3 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 2
25.0%
1 2
25.0%
. 2
25.0%
7 1
12.5%
3 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 2
25.0%
1 2
25.0%
. 2
25.0%
7 1
12.5%
3 1
12.5%

penalty_kicks_against
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0

Common Values

ValueCountFrequency (%)
0.0 2
 
6.7%
(Missing) 28
93.3%

Length

2023-05-09T12:14:19.976548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:20.054672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2
100.0%

Most occurring characters

ValueCountFrequency (%)
0 4
66.7%
. 2
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4
66.7%
Other Punctuation 2
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4
66.7%
. 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
66.7%
. 2
33.3%

penalty_kicks_saved
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0

Common Values

ValueCountFrequency (%)
0.0 2
 
6.7%
(Missing) 28
93.3%

Length

2023-05-09T12:14:20.117172image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:20.179672image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2
100.0%

Most occurring characters

ValueCountFrequency (%)
0 4
66.7%
. 2
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4
66.7%
Other Punctuation 2
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4
66.7%
. 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
66.7%
. 2
33.3%

penalty_kicks_missed
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing28
Missing (%)93.3%
Memory size372.0 B
0.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6
Distinct characters2
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0

Common Values

ValueCountFrequency (%)
0.0 2
 
6.7%
(Missing) 28
93.3%

Length

2023-05-09T12:14:20.242173image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:20.327190image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
0.0 2
100.0%

Most occurring characters

ValueCountFrequency (%)
0 4
66.7%
. 2
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4
66.7%
Other Punctuation 2
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4
66.7%
. 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
66.7%
. 2
33.3%

passes_completed
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean665.71429
Minimum6
Maximum1289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:20.374070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile68.1
Q1310.5
median835
Q3954.5
95-th percentile1190
Maximum1289
Range1283
Interquartile range (IQR)644

Descriptive statistics

Standard deviation463.78289
Coefficient of variation (CV)0.69666958
Kurtosis-1.3501293
Mean665.71429
Median Absolute Deviation (MAD)427
Skewness-0.23818578
Sum4660
Variance215094.57
MonotonicityNot monotonic
2023-05-09T12:14:20.444416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1289 1
 
3.3%
959 1
 
3.3%
950 1
 
3.3%
213 1
 
3.3%
835 1
 
3.3%
6 1
 
3.3%
408 1
 
3.3%
(Missing) 23
76.7%
ValueCountFrequency (%)
6 1
3.3%
213 1
3.3%
408 1
3.3%
835 1
3.3%
950 1
3.3%
959 1
3.3%
1289 1
3.3%
ValueCountFrequency (%)
1289 1
3.3%
959 1
3.3%
950 1
3.3%
835 1
3.3%
408 1
3.3%
213 1
3.3%
6 1
3.3%

passed_attempted
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean804
Minimum7
Maximum1584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:20.522568image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile82.6
Q1387
median951
Q31156
95-th percentile1482.6
Maximum1584
Range1577
Interquartile range (IQR)769

Descriptive statistics

Standard deviation564.17669
Coefficient of variation (CV)0.7017123
Kurtosis-1.1982524
Mean804
Median Absolute Deviation (MAD)436
Skewness-0.1432078
Sum5628
Variance318295.33
MonotonicityNot monotonic
2023-05-09T12:14:20.585070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1584 1
 
3.3%
1246 1
 
3.3%
1066 1
 
3.3%
259 1
 
3.3%
951 1
 
3.3%
7 1
 
3.3%
515 1
 
3.3%
(Missing) 23
76.7%
ValueCountFrequency (%)
7 1
3.3%
259 1
3.3%
515 1
3.3%
951 1
3.3%
1066 1
3.3%
1246 1
3.3%
1584 1
3.3%
ValueCountFrequency (%)
1584 1
3.3%
1246 1
3.3%
1066 1
3.3%
951 1
3.3%
515 1
3.3%
259 1
3.3%
7 1
3.3%

passes_completed_pct
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean83.2
Minimum77
Maximum89.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:20.663193image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum77
5-th percentile77.66
Q180.3
median82.2
Q386.75
95-th percentile88.71
Maximum89.1
Range12.1
Interquartile range (IQR)6.45

Descriptive statistics

Standard deviation4.4888751
Coefficient of variation (CV)0.053952826
Kurtosis-1.4419718
Mean83.2
Median Absolute Deviation (MAD)3.5
Skewness0.023681374
Sum582.4
Variance20.15
MonotonicityNot monotonic
2023-05-09T12:14:20.725788image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
81.4 1
 
3.3%
77 1
 
3.3%
89.1 1
 
3.3%
82.2 1
 
3.3%
87.8 1
 
3.3%
85.7 1
 
3.3%
79.2 1
 
3.3%
(Missing) 23
76.7%
ValueCountFrequency (%)
77 1
3.3%
79.2 1
3.3%
81.4 1
3.3%
82.2 1
3.3%
85.7 1
3.3%
87.8 1
3.3%
89.1 1
3.3%
ValueCountFrequency (%)
89.1 1
3.3%
87.8 1
3.3%
85.7 1
3.3%
82.2 1
3.3%
81.4 1
3.3%
79.2 1
3.3%
77 1
3.3%

total_passing_distance
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean11036.429
Minimum69
Maximum22608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:20.808861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum69
5-th percentile1230.6
Q14627.5
median13273
Q316025
95-th percentile20972.1
Maximum22608
Range22539
Interquartile range (IQR)11397.5

Descriptive statistics

Standard deviation8109.7143
Coefficient of variation (CV)0.73481328
Kurtosis-1.3375792
Mean11036.429
Median Absolute Deviation (MAD)7959
Skewness-0.0072947315
Sum77255
Variance65767465
MonotonicityNot monotonic
2023-05-09T12:14:20.861465image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
22608 1
 
3.3%
14895 1
 
3.3%
17155 1
 
3.3%
3941 1
 
3.3%
13273 1
 
3.3%
69 1
 
3.3%
5314 1
 
3.3%
(Missing) 23
76.7%
ValueCountFrequency (%)
69 1
3.3%
3941 1
3.3%
5314 1
3.3%
13273 1
3.3%
14895 1
3.3%
17155 1
3.3%
22608 1
3.3%
ValueCountFrequency (%)
22608 1
3.3%
17155 1
3.3%
14895 1
3.3%
13273 1
3.3%
5314 1
3.3%
3941 1
3.3%
69 1
3.3%

progressive_passing_distance
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean3129
Minimum32
Maximum7020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:20.938192image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile376.1
Q11207
median3724
Q34356.5
95-th percentile6407.4
Maximum7020
Range6988
Interquartile range (IQR)3149.5

Descriptive statistics

Standard deviation2458.3561
Coefficient of variation (CV)0.78566829
Kurtosis-0.79407383
Mean3129
Median Absolute Deviation (MAD)2489
Skewness0.34158941
Sum21903
Variance6043514.7
MonotonicityNot monotonic
2023-05-09T12:14:20.992417image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
7020 1
 
3.3%
3735 1
 
3.3%
4978 1
 
3.3%
1179 1
 
3.3%
3724 1
 
3.3%
32 1
 
3.3%
1235 1
 
3.3%
(Missing) 23
76.7%
ValueCountFrequency (%)
32 1
3.3%
1179 1
3.3%
1235 1
3.3%
3724 1
3.3%
3735 1
3.3%
4978 1
3.3%
7020 1
3.3%
ValueCountFrequency (%)
7020 1
3.3%
4978 1
3.3%
3735 1
3.3%
3724 1
3.3%
1235 1
3.3%
1179 1
3.3%
32 1
3.3%

key_passes
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean19.714286
Minimum0
Maximum64
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:21.070532image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q15.5
median13
Q325
95-th percentile54.4
Maximum64
Range64
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation22.201459
Coefficient of variation (CV)1.1261609
Kurtosis2.4932846
Mean19.714286
Median Absolute Deviation (MAD)9
Skewness1.5949676
Sum138
Variance492.90476
MonotonicityNot monotonic
2023-05-09T12:14:21.132938image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
32 1
 
3.3%
64 1
 
3.3%
13 1
 
3.3%
4 1
 
3.3%
7 1
 
3.3%
0 1
 
3.3%
18 1
 
3.3%
(Missing) 23
76.7%
ValueCountFrequency (%)
0 1
3.3%
4 1
3.3%
7 1
3.3%
13 1
3.3%
18 1
3.3%
32 1
3.3%
64 1
3.3%
ValueCountFrequency (%)
64 1
3.3%
32 1
3.3%
18 1
3.3%
13 1
3.3%
7 1
3.3%
4 1
3.3%
0 1
3.3%

final_third_passes
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean62
Minimum2
Maximum182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:21.195546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q123.5
median51
Q376
95-th percentile151.1
Maximum182
Range180
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation59.86095
Coefficient of variation (CV)0.96549919
Kurtosis2.7725581
Mean62
Median Absolute Deviation (MAD)28
Skewness1.5253676
Sum434
Variance3583.3333
MonotonicityNot monotonic
2023-05-09T12:14:21.258034image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
182 1
 
3.3%
51 1
 
3.3%
79 1
 
3.3%
25 1
 
3.3%
73 1
 
3.3%
2 1
 
3.3%
22 1
 
3.3%
(Missing) 23
76.7%
ValueCountFrequency (%)
2 1
3.3%
22 1
3.3%
25 1
3.3%
51 1
3.3%
73 1
3.3%
79 1
3.3%
182 1
3.3%
ValueCountFrequency (%)
182 1
3.3%
79 1
3.3%
73 1
3.3%
51 1
3.3%
25 1
3.3%
22 1
3.3%
2 1
3.3%

passes_into_penalty_area
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct7
Distinct (%)100.0%
Missing23
Missing (%)76.7%
Infinite0
Infinite (%)0.0%
Mean13.857143
Minimum0
Maximum44
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:21.346663image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q12.5
median5
Q321.5
95-th percentile41.6
Maximum44
Range44
Interquartile range (IQR)19

Descriptive statistics

Standard deviation18.160659
Coefficient of variation (CV)1.310563
Kurtosis-0.4750624
Mean13.857143
Median Absolute Deviation (MAD)4
Skewness1.2264773
Sum97
Variance329.80952
MonotonicityNot monotonic
2023-05-09T12:14:21.396081image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
44 1
 
3.3%
36 1
 
3.3%
4 1
 
3.3%
1 1
 
3.3%
5 1
 
3.3%
0 1
 
3.3%
7 1
 
3.3%
(Missing) 23
76.7%
ValueCountFrequency (%)
0 1
3.3%
1 1
3.3%
4 1
3.3%
5 1
3.3%
7 1
3.3%
36 1
3.3%
44 1
3.3%
ValueCountFrequency (%)
44 1
3.3%
36 1
3.3%
7 1
3.3%
5 1
3.3%
4 1
3.3%
1 1
3.3%
0 1
3.3%

crosses_into_penalty_area
Categorical

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)57.1%
Missing23
Missing (%)76.7%
Memory size372.0 B
0.0
1.0
3.0
7.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters21
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)28.6%

Sample

1st row3.0
2nd row7.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
0.0 3
 
10.0%
1.0 2
 
6.7%
3.0 1
 
3.3%
7.0 1
 
3.3%
(Missing) 23
76.7%

Length

2023-05-09T12:14:21.479846image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:21.558003image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
0.0 3
42.9%
1.0 2
28.6%
3.0 1
 
14.3%
7.0 1
 
14.3%

Most occurring characters

ValueCountFrequency (%)
0 10
47.6%
. 7
33.3%
1 2
 
9.5%
3 1
 
4.8%
7 1
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14
66.7%
Other Punctuation 7
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
71.4%
1 2
 
14.3%
3 1
 
7.1%
7 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10
47.6%
. 7
33.3%
1 2
 
9.5%
3 1
 
4.8%
7 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10
47.6%
. 7
33.3%
1 2
 
9.5%
3 1
 
4.8%
7 1
 
4.8%

tackles
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct8
Distinct (%)66.7%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean12.75
Minimum0
Maximum37
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:21.620504image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median12
Q316
95-th percentile33.7
Maximum37
Range37
Interquartile range (IQR)15

Descriptive statistics

Standard deviation12.016088
Coefficient of variation (CV)0.94243825
Kurtosis0.11945427
Mean12.75
Median Absolute Deviation (MAD)9
Skewness0.8285052
Sum153
Variance144.38636
MonotonicityNot monotonic
2023-05-09T12:14:21.683397image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 2
 
6.7%
10 2
 
6.7%
1 2
 
6.7%
15 2
 
6.7%
19 1
 
3.3%
31 1
 
3.3%
37 1
 
3.3%
14 1
 
3.3%
(Missing) 18
60.0%
ValueCountFrequency (%)
0 2
6.7%
1 2
6.7%
10 2
6.7%
14 1
3.3%
15 2
6.7%
19 1
3.3%
31 1
3.3%
37 1
3.3%
ValueCountFrequency (%)
37 1
3.3%
31 1
3.3%
19 1
3.3%
15 2
6.7%
14 1
3.3%
10 2
6.7%
1 2
6.7%
0 2
6.7%

attempts
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct9
Distinct (%)75.0%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum0
Maximum53
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:21.761549image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median22
Q328.25
95-th percentile51.35
Maximum53
Range53
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation18.561936
Coefficient of variation (CV)0.8839017
Kurtosis-0.73742198
Mean21
Median Absolute Deviation (MAD)15.5
Skewness0.4167521
Sum252
Variance344.54545
MonotonicityNot monotonic
2023-05-09T12:14:21.824022image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 2
 
6.7%
1 2
 
6.7%
27 2
 
6.7%
32 1
 
3.3%
50 1
 
3.3%
17 1
 
3.3%
53 1
 
3.3%
18 1
 
3.3%
26 1
 
3.3%
(Missing) 18
60.0%
ValueCountFrequency (%)
0 2
6.7%
1 2
6.7%
17 1
3.3%
18 1
3.3%
26 1
3.3%
27 2
6.7%
32 1
3.3%
50 1
3.3%
53 1
3.3%
ValueCountFrequency (%)
53 1
3.3%
50 1
3.3%
32 1
3.3%
27 2
6.7%
26 1
3.3%
18 1
3.3%
17 1
3.3%
1 2
6.7%
0 2
6.7%

tackles_pct
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)70.0%
Missing20
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean67.06
Minimum53.8
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:21.894539image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum53.8
5-th percentile54.61
Q155.6
median59.1
Q367.85
95-th percentile100
Maximum100
Range46.2
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation17.950314
Coefficient of variation (CV)0.26767543
Kurtosis0.80292197
Mean67.06
Median Absolute Deviation (MAD)3.5
Skewness1.5251794
Sum670.6
Variance322.21378
MonotonicityNot monotonic
2023-05-09T12:14:21.961950image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
55.6 3
 
10.0%
100 2
 
6.7%
59.4 1
 
3.3%
62 1
 
3.3%
58.8 1
 
3.3%
69.8 1
 
3.3%
53.8 1
 
3.3%
(Missing) 20
66.7%
ValueCountFrequency (%)
53.8 1
 
3.3%
55.6 3
10.0%
58.8 1
 
3.3%
59.4 1
 
3.3%
62 1
 
3.3%
69.8 1
 
3.3%
100 2
6.7%
ValueCountFrequency (%)
100 2
6.7%
69.8 1
 
3.3%
62 1
 
3.3%
59.4 1
 
3.3%
58.8 1
 
3.3%
55.6 3
10.0%
53.8 1
 
3.3%

challenges_lost
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct7
Distinct (%)58.3%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean8.25
Minimum0
Maximum19
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:22.024452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q312.25
95-th percentile17.35
Maximum19
Range19
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation6.8373972
Coefficient of variation (CV)0.82877541
Kurtosis-1.394746
Mean8.25
Median Absolute Deviation (MAD)4.5
Skewness-0.093810485
Sum99
Variance46.75
MonotonicityNot monotonic
2023-05-09T12:14:22.087061image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 4
 
13.3%
12 3
 
10.0%
13 1
 
3.3%
19 1
 
3.3%
7 1
 
3.3%
16 1
 
3.3%
8 1
 
3.3%
(Missing) 18
60.0%
ValueCountFrequency (%)
0 4
13.3%
7 1
 
3.3%
8 1
 
3.3%
12 3
10.0%
13 1
 
3.3%
16 1
 
3.3%
19 1
 
3.3%
ValueCountFrequency (%)
19 1
 
3.3%
16 1
 
3.3%
13 1
 
3.3%
12 3
10.0%
8 1
 
3.3%
7 1
 
3.3%
0 4
13.3%

blocks
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct9
Distinct (%)75.0%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean14.333333
Minimum0
Maximum38
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:22.165076image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median10
Q326.5
95-th percentile35.8
Maximum38
Range38
Interquartile range (IQR)25.75

Descriptive statistics

Standard deviation14.041065
Coefficient of variation (CV)0.97960921
Kurtosis-1.2816915
Mean14.333333
Median Absolute Deviation (MAD)10
Skewness0.52377216
Sum172
Variance197.15152
MonotonicityNot monotonic
2023-05-09T12:14:22.228396image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 3
 
10.0%
10 2
 
6.7%
18 1
 
3.3%
28 1
 
3.3%
7 1
 
3.3%
1 1
 
3.3%
38 1
 
3.3%
26 1
 
3.3%
34 1
 
3.3%
(Missing) 18
60.0%
ValueCountFrequency (%)
0 3
10.0%
1 1
 
3.3%
7 1
 
3.3%
10 2
6.7%
18 1
 
3.3%
26 1
 
3.3%
28 1
 
3.3%
34 1
 
3.3%
38 1
 
3.3%
ValueCountFrequency (%)
38 1
 
3.3%
34 1
 
3.3%
28 1
 
3.3%
26 1
 
3.3%
18 1
 
3.3%
10 2
6.7%
7 1
 
3.3%
1 1
 
3.3%
0 3
10.0%

shots_blocked
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct7
Distinct (%)58.3%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean6
Minimum0
Maximum21
Zeros3
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:22.306546image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median2
Q310.75
95-th percentile18.8
Maximum21
Range21
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.6988783
Coefficient of variation (CV)1.2831464
Kurtosis-0.4055428
Mean6
Median Absolute Deviation (MAD)2
Skewness1.1245364
Sum72
Variance59.272727
MonotonicityNot monotonic
2023-05-09T12:14:22.372055image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 4
 
13.3%
0 3
 
10.0%
16 1
 
3.3%
1 1
 
3.3%
21 1
 
3.3%
17 1
 
3.3%
9 1
 
3.3%
(Missing) 18
60.0%
ValueCountFrequency (%)
0 3
10.0%
1 1
 
3.3%
2 4
13.3%
9 1
 
3.3%
16 1
 
3.3%
17 1
 
3.3%
21 1
 
3.3%
ValueCountFrequency (%)
21 1
 
3.3%
17 1
 
3.3%
16 1
 
3.3%
9 1
 
3.3%
2 4
13.3%
1 1
 
3.3%
0 3
10.0%

passes_blocked
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct8
Distinct (%)66.7%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean8.3333333
Minimum0
Maximum25
Zeros4
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:22.430334image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8
Q313
95-th percentile20.6
Maximum25
Range25
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.0603782
Coefficient of variation (CV)0.96724539
Kurtosis-0.081806221
Mean8.3333333
Median Absolute Deviation (MAD)8
Skewness0.71429188
Sum100
Variance64.969697
MonotonicityNot monotonic
2023-05-09T12:14:22.492967image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 4
 
13.3%
8 2
 
6.7%
16 1
 
3.3%
12 1
 
3.3%
5 1
 
3.3%
17 1
 
3.3%
9 1
 
3.3%
25 1
 
3.3%
(Missing) 18
60.0%
ValueCountFrequency (%)
0 4
13.3%
5 1
 
3.3%
8 2
6.7%
9 1
 
3.3%
12 1
 
3.3%
16 1
 
3.3%
17 1
 
3.3%
25 1
 
3.3%
ValueCountFrequency (%)
25 1
 
3.3%
17 1
 
3.3%
16 1
 
3.3%
12 1
 
3.3%
9 1
 
3.3%
8 2
6.7%
5 1
 
3.3%
0 4
13.3%

interceptions
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct9
Distinct (%)75.0%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum0
Maximum34
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:22.571079image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q320
95-th percentile32.9
Maximum34
Range34
Interquartile range (IQR)19

Descriptive statistics

Standard deviation12.738631
Coefficient of variation (CV)1.0190905
Kurtosis-0.93007995
Mean12.5
Median Absolute Deviation (MAD)7.5
Skewness0.7711869
Sum150
Variance162.27273
MonotonicityNot monotonic
2023-05-09T12:14:22.633563image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 2
 
6.7%
1 2
 
6.7%
7 2
 
6.7%
34 1
 
3.3%
29 1
 
3.3%
9 1
 
3.3%
32 1
 
3.3%
13 1
 
3.3%
17 1
 
3.3%
(Missing) 18
60.0%
ValueCountFrequency (%)
0 2
6.7%
1 2
6.7%
7 2
6.7%
9 1
3.3%
13 1
3.3%
17 1
3.3%
29 1
3.3%
32 1
3.3%
34 1
3.3%
ValueCountFrequency (%)
34 1
3.3%
32 1
3.3%
29 1
3.3%
17 1
3.3%
13 1
3.3%
9 1
3.3%
7 2
6.7%
1 2
6.7%
0 2
6.7%

clears
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct10
Distinct (%)83.3%
Missing18
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean26.25
Minimum0
Maximum92
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:22.712076image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.75
median20
Q329.5
95-th percentile80.45
Maximum92
Range92
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation29.239217
Coefficient of variation (CV)1.1138749
Kurtosis1.2476813
Mean26.25
Median Absolute Deviation (MAD)18.5
Skewness1.3541769
Sum315
Variance854.93182
MonotonicityNot monotonic
2023-05-09T12:14:22.774717image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 2
 
6.7%
25 2
 
6.7%
18 1
 
3.3%
92 1
 
3.3%
16 1
 
3.3%
1 1
 
3.3%
2 1
 
3.3%
71 1
 
3.3%
43 1
 
3.3%
22 1
 
3.3%
(Missing) 18
60.0%
ValueCountFrequency (%)
0 2
6.7%
1 1
3.3%
2 1
3.3%
16 1
3.3%
18 1
3.3%
22 1
3.3%
25 2
6.7%
43 1
3.3%
71 1
3.3%
92 1
3.3%
ValueCountFrequency (%)
92 1
3.3%
71 1
3.3%
43 1
3.3%
25 2
6.7%
22 1
3.3%
18 1
3.3%
16 1
3.3%
2 1
3.3%
1 1
3.3%
0 2
6.7%

errors
Categorical

HIGH CORRELATION  MISSING 

Distinct2
Distinct (%)16.7%
Missing18
Missing (%)60.0%
Memory size372.0 B
0.0
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters36
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 8
26.7%
1.0 4
 
13.3%
(Missing) 18
60.0%

Length

2023-05-09T12:14:22.837185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-05-09T12:14:22.924185image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
ValueCountFrequency (%)
0.0 8
66.7%
1.0 4
33.3%

Most occurring characters

ValueCountFrequency (%)
0 20
55.6%
. 12
33.3%
1 4
 
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24
66.7%
Other Punctuation 12
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 20
83.3%
1 4
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20
55.6%
. 12
33.3%
1 4
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20
55.6%
. 12
33.3%
1 4
 
11.1%

shots
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct9
Distinct (%)100.0%
Missing21
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean23.111111
Minimum0
Maximum50
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:22.977098image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2
Q118
median23
Q332
95-th percentile43.2
Maximum50
Range50
Interquartile range (IQR)14

Descriptive statistics

Standard deviation14.572615
Coefficient of variation (CV)0.63054585
Kurtosis0.6361223
Mean23.111111
Median Absolute Deviation (MAD)9
Skewness0.26759385
Sum208
Variance212.36111
MonotonicityNot monotonic
2023-05-09T12:14:23.039578image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
32 1
 
3.3%
24 1
 
3.3%
20 1
 
3.3%
8 1
 
3.3%
50 1
 
3.3%
23 1
 
3.3%
33 1
 
3.3%
0 1
 
3.3%
18 1
 
3.3%
(Missing) 21
70.0%
ValueCountFrequency (%)
0 1
3.3%
8 1
3.3%
18 1
3.3%
20 1
3.3%
23 1
3.3%
24 1
3.3%
32 1
3.3%
33 1
3.3%
50 1
3.3%
ValueCountFrequency (%)
50 1
3.3%
33 1
3.3%
32 1
3.3%
24 1
3.3%
23 1
3.3%
20 1
3.3%
18 1
3.3%
8 1
3.3%
0 1
3.3%

shots_on_target
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct8
Distinct (%)88.9%
Missing21
Missing (%)70.0%
Infinite0
Infinite (%)0.0%
Mean11.444444
Minimum0
Maximum26
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:23.117712image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.2
Q18
median11
Q313
95-th percentile23.2
Maximum26
Range26
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.8280124
Coefficient of variation (CV)0.68400108
Kurtosis0.46059428
Mean11.444444
Median Absolute Deviation (MAD)3
Skewness0.46154801
Sum103
Variance61.277778
MonotonicityNot monotonic
2023-05-09T12:14:23.180237image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
13 2
 
6.7%
11 1
 
3.3%
3 1
 
3.3%
26 1
 
3.3%
10 1
 
3.3%
19 1
 
3.3%
0 1
 
3.3%
8 1
 
3.3%
(Missing) 21
70.0%
ValueCountFrequency (%)
0 1
3.3%
3 1
3.3%
8 1
3.3%
10 1
3.3%
11 1
3.3%
13 2
6.7%
19 1
3.3%
26 1
3.3%
ValueCountFrequency (%)
26 1
3.3%
19 1
3.3%
13 2
6.7%
11 1
3.3%
10 1
3.3%
8 1
3.3%
3 1
3.3%
0 1
3.3%

shots_on_target_pct
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct8
Distinct (%)100.0%
Missing22
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean48.3
Minimum37.5
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:23.242699image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum37.5
5-th percentile38.585
Q142.775
median45.1
Q353.4
95-th percentile62.41
Maximum65
Range27.5
Interquartile range (IQR)10.625

Descriptive statistics

Standard deviation9.2543426
Coefficient of variation (CV)0.1916013
Kurtosis-0.068062984
Mean48.3
Median Absolute Deviation (MAD)5.7
Skewness0.86774959
Sum386.4
Variance85.642857
MonotonicityNot monotonic
2023-05-09T12:14:23.305200image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
40.6 1
 
3.3%
45.8 1
 
3.3%
65 1
 
3.3%
37.5 1
 
3.3%
52 1
 
3.3%
43.5 1
 
3.3%
57.6 1
 
3.3%
44.4 1
 
3.3%
(Missing) 22
73.3%
ValueCountFrequency (%)
37.5 1
3.3%
40.6 1
3.3%
43.5 1
3.3%
44.4 1
3.3%
45.8 1
3.3%
52 1
3.3%
57.6 1
3.3%
65 1
3.3%
ValueCountFrequency (%)
65 1
3.3%
57.6 1
3.3%
52 1
3.3%
45.8 1
3.3%
44.4 1
3.3%
43.5 1
3.3%
40.6 1
3.3%
37.5 1
3.3%

goals_per_shot_on_target
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct8
Distinct (%)100.0%
Missing22
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean0.3275
Minimum0
Maximum0.63
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:23.509039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.07
Q10.2525
median0.34
Q30.4
95-th percentile0.5705
Maximum0.63
Range0.63
Interquartile range (IQR)0.1475

Descriptive statistics

Standard deviation0.18545311
Coefficient of variation (CV)0.56626905
Kurtosis1.0337595
Mean0.3275
Median Absolute Deviation (MAD)0.095
Skewness-0.21400813
Sum2.62
Variance0.034392857
MonotonicityNot monotonic
2023-05-09T12:14:23.571921image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.46 1
 
3.3%
0.27 1
 
3.3%
0.38 1
 
3.3%
0 1
 
3.3%
0.31 1
 
3.3%
0.2 1
 
3.3%
0.37 1
 
3.3%
0.63 1
 
3.3%
(Missing) 22
73.3%
ValueCountFrequency (%)
0 1
3.3%
0.2 1
3.3%
0.27 1
3.3%
0.31 1
3.3%
0.37 1
3.3%
0.38 1
3.3%
0.46 1
3.3%
0.63 1
3.3%
ValueCountFrequency (%)
0.63 1
3.3%
0.46 1
3.3%
0.38 1
3.3%
0.37 1
3.3%
0.31 1
3.3%
0.27 1
3.3%
0.2 1
3.3%
0 1
3.3%

goals_per_shot
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct8
Distinct (%)100.0%
Missing22
Missing (%)73.3%
Infinite0
Infinite (%)0.0%
Mean0.16375
Minimum0
Maximum0.28
Zeros1
Zeros (%)3.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:23.634541image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0315
Q10.12
median0.175
Q30.22
95-th percentile0.2695
Maximum0.28
Range0.28
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.090386077
Coefficient of variation (CV)0.55197604
Kurtosis0.20047187
Mean0.16375
Median Absolute Deviation (MAD)0.06
Skewness-0.64507735
Sum1.31
Variance0.0081696429
MonotonicityNot monotonic
2023-05-09T12:14:23.697037image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.19 1
 
3.3%
0.13 1
 
3.3%
0.25 1
 
3.3%
0 1
 
3.3%
0.16 1
 
3.3%
0.09 1
 
3.3%
0.21 1
 
3.3%
0.28 1
 
3.3%
(Missing) 22
73.3%
ValueCountFrequency (%)
0 1
3.3%
0.09 1
3.3%
0.13 1
3.3%
0.16 1
3.3%
0.19 1
3.3%
0.21 1
3.3%
0.25 1
3.3%
0.28 1
3.3%
ValueCountFrequency (%)
0.28 1
3.3%
0.25 1
3.3%
0.21 1
3.3%
0.19 1
3.3%
0.16 1
3.3%
0.13 1
3.3%
0.09 1
3.3%
0 1
3.3%

goals_per_90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17660535
Minimum0
Maximum0.94076655
Zeros13
Zeros (%)43.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:23.775164image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.058723953
Q30.30837373
95-th percentile0.54760442
Maximum0.94076655
Range0.94076655
Interquartile range (IQR)0.30837373

Descriptive statistics

Standard deviation0.24006498
Coefficient of variation (CV)1.3593302
Kurtosis2.0198091
Mean0.17660535
Median Absolute Deviation (MAD)0.058723953
Skewness1.5068545
Sum5.2981606
Variance0.057631196
MonotonicityNot monotonic
2023-05-09T12:14:23.837568image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 13
43.3%
0.2422145329 1
 
3.3%
0.5811808118 1
 
3.3%
0.2244389027 1
 
3.3%
0.4841963685 1
 
3.3%
0.4653567735 1
 
3.3%
0.5065666041 1
 
3.3%
0.455311973 1
 
3.3%
0.06691449814 1
 
3.3%
0.0487012987 1
 
3.3%
Other values (8) 8
26.7%
ValueCountFrequency (%)
0 13
43.3%
0.0487012987 1
 
3.3%
0.0505334082 1
 
3.3%
0.06691449814 1
 
3.3%
0.07607776839 1
 
3.3%
0.1104294479 1
 
3.3%
0.1292484442 1
 
3.3%
0.1599289205 1
 
3.3%
0.2244389027 1
 
3.3%
0.2422145329 1
 
3.3%
ValueCountFrequency (%)
0.9407665505 1
3.3%
0.5811808118 1
3.3%
0.5065666041 1
3.3%
0.4841963685 1
3.3%
0.4653567735 1
3.3%
0.455311973 1
3.3%
0.4258675079 1
3.3%
0.3304268013 1
3.3%
0.2422145329 1
3.3%
0.2244389027 1
3.3%

assists_per_90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10879627
Minimum0
Maximum0.51699378
Zeros14
Zeros (%)46.7%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:23.925244image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.057115559
Q30.16662388
95-th percentile0.35737671
Maximum0.51699378
Range0.51699378
Interquartile range (IQR)0.16662388

Descriptive statistics

Standard deviation0.14001607
Coefficient of variation (CV)1.2869565
Kurtosis1.0808626
Mean0.10879627
Median Absolute Deviation (MAD)0.057115559
Skewness1.2946221
Sum3.2638881
Variance0.019604499
MonotonicityNot monotonic
2023-05-09T12:14:24.001795image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 14
46.7%
0.1461038961 1
 
3.3%
0.1122194514 1
 
3.3%
0.2420981843 1
 
3.3%
0.2792140641 1
 
3.3%
0.1688555347 1
 
3.3%
0.3794266442 1
 
3.3%
0.06691449814 1
 
3.3%
0.1599289205 1
 
3.3%
0.1384083045 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 14
46.7%
0.05521472393 1
 
3.3%
0.05901639344 1
 
3.3%
0.06691449814 1
 
3.3%
0.07607776839 1
 
3.3%
0.1122194514 1
 
3.3%
0.1384083045 1
 
3.3%
0.1461038961 1
 
3.3%
0.1599289205 1
 
3.3%
0.1688555347 1
 
3.3%
ValueCountFrequency (%)
0.5169937769 1
3.3%
0.3794266442 1
3.3%
0.3304268013 1
3.3%
0.2839116719 1
3.3%
0.2792140641 1
3.3%
0.2490774908 1
3.3%
0.2420981843 1
3.3%
0.1688555347 1
3.3%
0.1599289205 1
3.3%
0.1461038961 1
3.3%

goals_and_assists_per_90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.28540162
Minimum0
Maximum0.94076655
Zeros12
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:24.075452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.14299227
Q30.65720076
95-th percentile0.83272248
Maximum0.94076655
Range0.94076655
Interquartile range (IQR)0.65720076

Descriptive statistics

Standard deviation0.33201427
Coefficient of variation (CV)1.163323
Kurtosis-1.1561941
Mean0.28540162
Median Absolute Deviation (MAD)0.14299227
Skewness0.72317836
Sum8.5620487
Variance0.11023348
MonotonicityNot monotonic
2023-05-09T12:14:24.137897image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 12
40.0%
0.1948051948 1
 
3.3%
0.8302583026 1
 
3.3%
0.3366583541 1
 
3.3%
0.7262945528 1
 
3.3%
0.7445708376 1
 
3.3%
0.6754221388 1
 
3.3%
0.8347386172 1
 
3.3%
0.1338289963 1
 
3.3%
0.319857841 1
 
3.3%
Other values (9) 9
30.0%
ValueCountFrequency (%)
0 12
40.0%
0.0505334082 1
 
3.3%
0.05901639344 1
 
3.3%
0.1338289963 1
 
3.3%
0.1521555368 1
 
3.3%
0.1656441718 1
 
3.3%
0.1948051948 1
 
3.3%
0.319857841 1
 
3.3%
0.3366583541 1
 
3.3%
0.3806228374 1
 
3.3%
ValueCountFrequency (%)
0.9407665505 1
3.3%
0.8347386172 1
3.3%
0.8302583026 1
3.3%
0.7445708376 1
3.3%
0.7262945528 1
3.3%
0.7097791798 1
3.3%
0.6754221388 1
3.3%
0.6608536026 1
3.3%
0.6462422212 1
3.3%
0.3806228374 1
3.3%

xG_per_90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17424895
Minimum0
Maximum0.52306273
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:24.216071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.016544767
median0.084349501
Q30.34123999
95-th percentile0.48447913
Maximum0.52306273
Range0.52306273
Interquartile range (IQR)0.32469522

Descriptive statistics

Standard deviation0.18351382
Coefficient of variation (CV)1.0531703
Kurtosis-1.0699762
Mean0.17424895
Median Absolute Deviation (MAD)0.084349501
Skewness0.73027342
Sum5.2274686
Variance0.033677323
MonotonicityNot monotonic
2023-05-09T12:14:24.294724image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 7
23.3%
0.2422145329 1
 
3.3%
0.5230627306 1
 
3.3%
0.4825436409 1
 
3.3%
0.4418291863 1
 
3.3%
0.2521551724 1
 
3.3%
0.474663909 1
 
3.3%
0.4052532833 1
 
3.3%
0.3566610455 1
 
3.3%
0.07360594796 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0 7
23.3%
0.01180327869 1
 
3.3%
0.03076923077 1
 
3.3%
0.03803888419 1
 
3.3%
0.06075216972 1
 
3.3%
0.06397156819 1
 
3.3%
0.0717791411 1
 
3.3%
0.07360594796 1
 
3.3%
0.08279220779 1
 
3.3%
0.08590679394 1
 
3.3%
ValueCountFrequency (%)
0.5230627306 1
3.3%
0.4860627178 1
3.3%
0.4825436409 1
3.3%
0.474663909 1
3.3%
0.4418291863 1
3.3%
0.4052532833 1
3.3%
0.3566610455 1
3.3%
0.3461538462 1
3.3%
0.3264984227 1
3.3%
0.2521551724 1
3.3%

npxG_per_90
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct24
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16467902
Minimum0
Maximum0.52306273
Zeros7
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size372.0 B
2023-05-09T12:14:24.372874image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.0157543
median0.084349501
Q30.28939361
95-th percentile0.47899776
Maximum0.52306273
Range0.52306273
Interquartile range (IQR)0.27363931

Descriptive statistics

Standard deviation0.17517275
Coefficient of variation (CV)1.0637223
Kurtosis-0.84631521
Mean0.16467902
Median Absolute Deviation (MAD)0.084349501
Skewness0.78965797
Sum4.9403706
Variance0.030685493
MonotonicityNot monotonic
2023-05-09T12:14:24.444350image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0 7
23.3%
0.2422145329 1
 
3.3%
0.5230627306 1
 
3.3%
0.4825436409 1
 
3.3%
0.4418291863 1
 
3.3%
0.2521551724 1
 
3.3%
0.474663909 1
 
3.3%
0.4052532833 1
 
3.3%
0.2959527825 1
 
3.3%
0.07360594796 1
 
3.3%
Other values (14) 14
46.7%
ValueCountFrequency (%)
0 7
23.3%
0.01180327869 1
 
3.3%
0.02760736196 1
 
3.3%
0.03076923077 1
 
3.3%
0.03803888419 1
 
3.3%
0.06075216972 1
 
3.3%
0.06397156819 1
 
3.3%
0.07360594796 1
 
3.3%
0.08279220779 1
 
3.3%
0.08590679394 1
 
3.3%
ValueCountFrequency (%)
0.5230627306 1
3.3%
0.4825436409 1
3.3%
0.474663909 1
3.3%
0.4418291863 1
3.3%
0.4052532833 1
3.3%
0.3606271777 1
3.3%
0.3461538462 1
3.3%
0.2959527825 1
3.3%
0.2697160883 1
3.3%
0.2521551724 1
3.3%

Interactions

2023-05-09T12:07:44.194363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:19.419067image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:22.614955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:26.196421image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:30.144681image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:33.679041image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:37.174340image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:40.631431image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:44.406474image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:47.701247image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:51.374207image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:54.881081image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:58.427430image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:01.710707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:05.116129image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:08.574522image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:11.995535image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:15.511464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:19.088389image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:22.391674image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:25.850353image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:29.445550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:32.762827image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:36.334739image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:39.708304image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:43.324325image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:46.884283image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:50.200985image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:53.859338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:57.432719image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:00.834001image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:04.423652image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:08.093840image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:11.401446image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:14.910918image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:18.317610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:21.914526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:25.539321image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:29.294281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:32.997736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:36.633787image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:40.437473image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:44.275989image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:19.479614image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:22.695765image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:26.287226image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:30.221380image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:33.750315image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:37.258476image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:40.719631image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:44.477323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:47.781443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:51.450351image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:54.960463image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:58.500985image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:01.785707image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:05.191552image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:08.656892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:12.075585image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:15.596063image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:19.171610image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:22.469224image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:25.934923image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:29.525283image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:32.843287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:36.416748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:39.953509image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:43.398632image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:46.966428image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:50.279893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:53.938029image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:57.508085image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:00.910849image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:04.500331image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:08.168016image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:11.484880image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:14.993969image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:18.405736image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:22.004352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:25.626485image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:29.371287image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:33.095006image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:36.714231image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:40.518059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:44.365613image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:19.564808image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:22.782313image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:26.364014image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:30.298904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:33.828309image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:37.350323image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:40.819047image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:44.561000image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:47.868163image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:51.538352image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:55.047070image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:58.581966image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:01.863019image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:05.275797image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:08.741812image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:12.325227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:15.683502image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:19.250843image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:22.552595image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:26.020132image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:29.605875image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:32.928075image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:36.497751image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:40.039716image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:43.486182image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:47.053527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:50.368981image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:54.025654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:57.593583image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:01.003014image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:04.591559image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:08.256732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:11.570014image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:15.081593image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:18.492676image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:22.092265image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
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2023-05-09T12:07:21.747094image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:25.368856image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:29.127003image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:32.833665image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:36.464370image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:40.274500image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:44.035012image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:47.724889image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:22.542388image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:26.009872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:30.031139image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:33.599638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:37.078135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:40.563288image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:44.329922image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:47.622046image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:51.269724image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:54.800493image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:05:58.346538image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:01.633924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:05.039544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:08.498369image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:11.913350image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:15.428184image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:19.005713image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:22.311773image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:25.771761image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:29.361367image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:32.684605image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:36.255511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:39.631194image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:43.233492image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:46.798137image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:50.118039image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:53.769869image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:06:57.342366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:00.715891image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:04.336243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:08.005038image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:11.316024image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:14.829564image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:18.237187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:21.832980image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:25.455094image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:29.209728image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:32.914024image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:36.547925image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:40.354209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
2023-05-09T12:07:44.115443image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

2023-05-09T12:14:24.575480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
idagebornmatches_playedstartsminutesgoalsassistsyellow_cardxGnpxGxAGPrgCPrgPPrgRpasses_completedpassed_attemptedpasses_completed_pcttotal_passing_distanceprogressive_passing_distancekey_passesfinal_third_passespasses_into_penalty_areatacklesattemptstackles_pctchallenges_lostblocksshots_blockedpasses_blockedinterceptionsclearsshotsshots_on_targetshots_on_target_pctgoals_per_shot_on_targetgoals_per_shotgoals_per_90assists_per_90goals_and_assists_per_90xG_per_90npxG_per_90playernationposgoals_againstshots_on_target_againstsavessave_pctclean_sheetsclean_sheets_pctcrosses_into_penalty_areaerrors
id1.000-0.019-0.017-0.169-0.174-0.133-0.254-0.217-0.192-0.286-0.272-0.189-0.118-0.100-0.152-0.821-0.8210.143-0.786-0.786-0.571-0.786-0.5360.2220.246-0.5170.1760.4970.5130.4280.1900.453-0.333-0.3510.1670.0950.286-0.211-0.232-0.193-0.213-0.1930.5350.1260.2881.0001.0001.0001.0001.0001.0000.3600.296
age-0.0191.000-0.9960.1880.2620.265-0.0850.0290.3430.0460.0510.1770.0840.2570.101-0.144-0.144-0.090-0.090-0.0900.162-0.234-0.0720.5200.511-0.4020.5930.5500.5690.5570.6410.513-0.318-0.235-0.359-0.455-0.467-0.1320.027-0.101-0.048-0.0430.5670.3950.0001.0001.0001.0001.0001.0001.0000.0000.000
born-0.017-0.9961.000-0.180-0.256-0.2620.094-0.017-0.331-0.034-0.039-0.179-0.081-0.253-0.0970.1440.1440.0900.0900.090-0.1620.2340.072-0.520-0.5110.402-0.593-0.550-0.569-0.557-0.641-0.5130.3530.2660.3370.4460.4340.136-0.0180.1090.0620.0560.5350.3090.0001.0001.0001.0001.0001.0001.0000.0000.000
matches_played-0.1690.188-0.1801.0000.9170.9420.6690.6880.6160.6460.6390.6970.6520.7770.5790.9910.991-0.2700.9370.9370.8470.8470.8830.8870.903-0.2160.9030.9450.9460.8840.8820.9260.8330.8120.3570.5000.4760.5470.6000.5950.3770.3550.5350.1750.3541.0001.0001.0001.0001.0001.0000.0000.000
starts-0.1740.262-0.2560.9171.0000.9870.5730.7000.6140.5300.5230.6730.6750.7920.5500.9910.991-0.2700.9370.9370.8470.8470.8830.9070.919-0.1730.9290.9080.8790.9070.9370.8460.8280.9160.4430.3950.3230.4160.5930.4760.1830.1820.5670.0000.0001.0001.0001.0001.0001.0001.0000.3160.000
minutes-0.1330.265-0.2620.9420.9871.0000.5650.6870.6080.5160.5090.6600.6530.7870.5371.0001.000-0.2500.9640.9640.8570.8570.8570.8590.875-0.2340.8680.9210.9000.9020.8890.8180.8670.9210.4050.4290.3570.4130.5780.4710.1820.1740.1390.0000.0001.0001.0001.0001.0001.0001.0001.0000.000
goals-0.254-0.0850.0940.6690.5730.5651.0000.8250.4250.9140.9000.8530.7180.5420.7900.7780.778-0.7040.6670.6670.9640.3710.8520.7900.808-0.1310.8160.8490.7750.8700.8580.7030.8150.8570.5270.6110.6110.9540.8220.9410.7270.7040.3410.1970.0001.0001.0001.0001.0001.0001.0000.5770.209
assists-0.2170.029-0.0170.6880.7000.6870.8251.0000.5110.7610.7520.8690.7640.6790.7990.7710.771-0.6790.6420.6420.9730.3670.9180.5650.587-0.2440.5610.6760.6150.7430.7170.4690.8460.8970.3390.3270.2060.7190.9710.7910.4880.4980.4230.0000.0001.0001.0001.0001.0001.0001.0000.6850.000
yellow_card-0.1920.343-0.3310.6160.6140.6080.4250.5111.0000.5080.4790.5540.5940.7380.4670.7860.7860.1790.8930.8930.5360.8930.6430.9220.920-0.0640.9310.7730.7900.7520.8730.842-0.086-0.173-0.6260.233-0.0250.3670.4360.4500.2970.2630.5000.1710.0001.0001.0001.0001.0001.0001.0001.0000.429
xG-0.2860.046-0.0340.6460.5300.5160.9140.7610.5081.0000.9930.8660.7030.5570.8280.7140.714-0.6070.6790.6790.8570.4640.8570.8190.837-0.3090.8610.8400.8140.8710.9260.8110.8330.9460.6670.3570.4290.8930.7790.8950.8680.8620.5350.2420.0001.0001.0001.0001.0001.0001.0000.5770.414
npxG-0.2720.051-0.0390.6390.5230.5090.9000.7520.4790.9931.0000.8690.6980.5470.8350.8210.821-0.6430.7500.7500.9290.5360.8930.8190.837-0.3090.8610.8400.8140.8710.9260.8110.8500.9370.7140.1190.2380.8780.7740.8740.8680.8720.5000.2800.0541.0001.0001.0001.0001.0001.0000.6850.414
xAG-0.1890.177-0.1790.6970.6730.6600.8530.8690.5540.8660.8691.0000.8740.7650.9370.7860.786-0.7140.6790.6790.9640.4290.8570.7130.726-0.5290.7440.8560.7910.9090.8600.6470.7000.8030.2380.4760.3570.7600.8400.7960.6370.6360.3060.3410.0001.0001.0001.0001.0001.0001.0000.7640.000
PrgC-0.1180.084-0.0810.6520.6750.6530.7180.7640.5940.7030.6980.8741.0000.8590.8720.8930.893-0.5710.8210.8210.9640.6070.9640.7420.751-0.6030.7630.7960.6910.8770.7940.6090.6000.510-0.2140.071-0.1430.6160.6930.6340.4310.4230.0980.2140.0001.0001.0001.0001.0001.0001.0000.5770.000
PrgP-0.1000.257-0.2530.7770.7920.7870.5420.6790.7380.5570.5470.7650.8591.0000.6830.9910.991-0.2700.9370.9370.8470.8470.8830.8310.847-0.2580.8600.8920.8600.8950.8960.7650.4170.477-0.1900.2860.1190.3930.5590.4640.2370.2230.4230.1150.0001.0001.0001.0001.0001.0001.0000.3540.429
PrgR-0.1520.101-0.0970.5790.5500.5370.7900.7990.4670.8280.8350.9370.8720.6831.0000.8210.821-0.6790.6790.6790.9640.4640.9640.5930.595-0.7630.5890.6470.5850.7390.6870.4990.7280.8320.2990.4430.3710.7170.7910.7600.6380.6410.1120.2550.0001.0001.0001.0001.0001.0001.0000.8660.285
passes_completed-0.821-0.1440.1440.9910.9911.0000.7780.7710.7860.7140.8210.7860.8930.9910.8211.0001.000-0.2500.9640.9640.8570.8570.857NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.5190.6670.5950.4640.4641.0000.7751.0000.0000.0000.0000.0000.0000.0000.0000.000
passed_attempted-0.821-0.1440.1440.9910.9911.0000.7780.7710.7860.7140.8210.7860.8930.9910.8211.0001.000-0.2500.9640.9640.8570.8570.857NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.5190.6670.5950.4640.4641.0001.0001.0000.0000.0000.0000.0000.0000.0001.0000.000
passes_completed_pct0.143-0.0900.090-0.270-0.270-0.250-0.704-0.6790.179-0.607-0.643-0.714-0.571-0.270-0.679-0.250-0.2501.000-0.036-0.036-0.6430.214-0.607NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN-0.704-0.703-0.631-0.750-0.7501.0001.0001.0000.0000.0000.0000.0000.0000.0001.0000.000
total_passing_distance-0.786-0.0900.0900.9370.9370.9640.6670.6420.8930.6790.7500.6790.8210.9370.6790.9640.964-0.0361.0001.0000.7500.9290.750NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.4450.5230.5230.3930.3931.0001.0001.0000.0000.0000.0000.0000.0000.0001.0000.000
progressive_passing_distance-0.786-0.0900.0900.9370.9370.9640.6670.6420.8930.6790.7500.6790.8210.9370.6790.9640.964-0.0361.0001.0000.7500.9290.750NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.4450.5230.5230.3930.3931.0000.5301.0000.0000.0000.0000.0000.0000.0000.0000.000
key_passes-0.5710.162-0.1620.8470.8470.8570.9640.9730.5360.8570.9290.9640.9640.8470.9640.8570.857-0.6430.7500.7501.0000.5000.929NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.8520.9190.8830.7500.7501.0000.5301.0000.0000.0000.0000.0000.0000.0000.6610.000
final_third_passes-0.786-0.2340.2340.8470.8470.8570.3710.3670.8930.4640.5360.4290.6070.8470.4640.8570.8570.2140.9290.9290.5001.0000.571NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.1110.2520.2160.1790.1791.0000.7751.0000.0000.0000.0000.0000.0000.0000.3160.000
passes_into_penalty_area-0.536-0.0720.0720.8830.8830.8570.8520.9180.6430.8570.8930.8570.9640.8830.9640.8570.857-0.6070.7500.7500.9290.5711.000NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.7410.8830.8110.7500.7501.0000.1671.0000.0000.0000.0000.0000.0000.0001.0000.000
tackles0.2220.520-0.5200.8870.9070.8590.7900.5650.9220.8190.8190.7130.7420.8310.593NaNNaNNaNNaNNaNNaNNaNNaN1.0000.998-0.1370.9710.8420.7850.8260.8420.862NaNNaNNaNNaNNaN0.7930.5690.7030.5180.5180.7750.3911.0000.0000.0000.0000.0000.0000.0000.0000.437
attempts0.2460.511-0.5110.9030.9190.8750.8080.5870.9200.8370.8370.7260.7510.8470.595NaNNaNNaNNaNNaNNaNNaNNaN0.9981.000-0.1490.9730.8550.8000.8350.8450.878NaNNaNNaNNaNNaN0.8050.5920.7260.5350.5350.7070.5441.0000.0000.0000.0000.0000.0000.0000.0000.539
tackles_pct-0.517-0.4020.402-0.216-0.173-0.234-0.131-0.244-0.064-0.309-0.309-0.529-0.603-0.258-0.763NaNNaNNaNNaNNaNNaNNaNNaN-0.137-0.1491.000-0.187-0.370-0.349-0.433-0.185-0.309NaNNaNNaNNaNNaN-0.165-0.230-0.2160.1230.1230.6120.0001.0000.0000.0000.0000.0000.0000.0000.0000.000
challenges_lost0.1760.593-0.5930.9030.9290.8680.8160.5610.9310.8610.8610.7440.7630.8600.589NaNNaNNaNNaNNaNNaNNaNNaN0.9710.973-0.1871.0000.8750.8050.8780.8790.864NaNNaNNaNNaNNaN0.8080.5600.7230.5130.5130.7070.0001.0000.0000.0000.0000.0000.0000.0000.0000.000
blocks0.4970.550-0.5500.9450.9080.9210.8490.6760.7730.8400.8400.8560.7960.8920.647NaNNaNNaNNaNNaNNaNNaNNaN0.8420.855-0.3700.8751.0000.9550.9600.8620.860NaNNaNNaNNaNNaN0.8080.6570.7740.4650.4650.8370.4841.0000.0000.0000.0000.0000.0000.0000.0000.301
shots_blocked0.5130.569-0.5690.9460.8790.9000.7750.6150.7900.8140.8140.7910.6910.8600.585NaNNaNNaNNaNNaNNaNNaNNaN0.7850.800-0.3490.8050.9551.0000.8630.8070.907NaNNaNNaNNaNNaN0.7040.6040.7200.4120.4120.6320.0001.0000.0000.0000.0000.0000.0000.0000.0000.582
passes_blocked0.4280.557-0.5570.8840.9070.9020.8700.7430.7520.8710.8710.9090.8770.8950.739NaNNaNNaNNaNNaNNaNNaNNaN0.8260.835-0.4330.8780.9600.8631.0000.9140.762NaNNaNNaNNaNNaN0.8470.7200.8130.5350.5350.7070.3571.0000.0000.0000.0000.0000.0000.0000.0000.290
interceptions0.1900.641-0.6410.8820.9370.8890.8580.7170.8730.9260.9260.8600.7940.8960.687NaNNaNNaNNaNNaNNaNNaNNaN0.8420.845-0.1850.8790.8620.8070.9141.0000.730NaNNaNNaNNaNNaN0.8090.7020.8120.6340.6340.7070.0001.0000.0000.0000.0000.0000.0000.0000.0000.290
clears0.4530.513-0.5130.9260.8460.8180.7030.4690.8420.8110.8110.6470.6090.7650.499NaNNaNNaNNaNNaNNaNNaNNaN0.8620.878-0.3090.8640.8600.9070.7620.7301.000NaNNaNNaNNaNNaN0.6540.4730.6350.5340.5340.7070.0001.0000.0000.0000.0000.0000.0000.0000.0000.125
shots-0.333-0.3180.3530.8330.8280.8670.8150.846-0.0860.8330.8500.7000.6000.4170.728NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN1.0000.9290.4050.1190.0710.4940.7120.4440.4170.6171.0000.4081.0000.0000.0000.0000.0000.0000.0000.0000.000
shots_on_target-0.351-0.2350.2660.8120.9160.9210.8570.897-0.1730.9460.9370.8030.5100.4770.832NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.9291.0000.6710.2750.3110.5040.8260.5130.4600.6691.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.000
shots_on_target_pct0.167-0.3590.3370.3570.4430.4050.5270.339-0.6260.6670.7140.238-0.214-0.1900.299NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.4050.6711.0000.3100.5710.5710.4430.2860.5710.7141.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.000
goals_per_shot_on_target0.095-0.4550.4460.5000.3950.4290.6110.3270.2330.3570.1190.4760.0710.2860.443NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.1190.2750.3101.0000.9290.5950.4190.9760.381-0.0241.0000.0001.0000.0000.0000.0000.0000.0000.0000.0000.000
goals_per_shot0.286-0.4670.4340.4760.3230.3570.6110.206-0.0250.4290.2380.357-0.1430.1190.371NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0710.3110.5710.9291.0000.7140.3470.9050.5950.2141.0001.0001.0000.0000.0000.0000.0000.0000.0000.0000.000
goals_per_90-0.211-0.1320.1360.5470.4160.4130.9540.7190.3670.8930.8780.7600.6160.3930.7170.5190.519-0.7040.4450.4450.8520.1110.7410.7930.805-0.1650.8080.8080.7040.8470.8090.6540.4940.5040.5710.5950.7141.0000.7700.9710.7920.7660.5000.2500.1421.0001.0001.0001.0001.0001.0000.5770.000
assists_per_90-0.2320.027-0.0180.6000.5930.5780.8220.9710.4360.7790.7740.8400.6930.5590.7910.6670.667-0.7030.5230.5230.9190.2520.8830.5690.592-0.2300.5600.6570.6040.7200.7020.4730.7120.8260.4430.4190.3470.7701.0000.8320.5620.5790.3450.0000.0001.0001.0001.0001.0001.0001.0000.6610.000
goals_and_assists_per_90-0.193-0.1010.1090.5950.4760.4710.9410.7910.4500.8950.8740.7960.6340.4640.7600.5950.595-0.6310.5230.5230.8830.2160.8110.7030.726-0.2160.7230.7740.7200.8130.8120.6350.4440.5130.2860.9760.9050.9710.8321.0000.7720.7420.2760.2690.0001.0001.0001.0001.0001.0001.0000.3600.000
xG_per_90-0.213-0.0480.0620.3770.1830.1820.7270.4880.2970.8680.8680.6370.4310.2370.6380.4640.464-0.7500.3930.3930.7500.1790.7500.5180.5350.1230.5130.4650.4120.5350.6340.5340.4170.4600.5710.3810.5950.7920.5620.7721.0000.9910.4000.0000.3281.0001.0001.0001.0001.0001.0000.3160.000
npxG_per_90-0.193-0.0430.0560.3550.1820.1740.7040.4980.2630.8620.8720.6360.4230.2230.6410.4640.464-0.7500.3930.3930.7500.1790.7500.5180.5350.1230.5130.4650.4120.5350.6340.5340.6170.6690.714-0.0240.2140.7660.5790.7420.9911.0000.4340.0000.3111.0001.0001.0001.0001.0001.0000.5770.000
player0.5350.5670.5350.5350.5670.1390.3410.4230.5000.5350.5000.3060.0980.4230.1121.0001.0001.0001.0001.0001.0001.0001.0000.7750.7070.6120.7070.8370.6320.7070.7070.7071.0001.0001.0001.0001.0000.5000.3450.2760.4000.4341.0000.6270.3271.0001.0001.0001.0001.0001.0001.0000.316
nation0.1260.3950.3090.1750.0000.0000.1970.0000.1710.2420.2800.3410.2140.1150.2550.7751.0001.0001.0000.5300.5300.7750.1670.3910.5440.0000.0000.4840.0000.3570.0000.0000.4080.0000.0000.0001.0000.2500.0000.2690.0000.0000.6271.0000.1691.0001.0001.0001.0001.0001.0000.1670.000
pos0.2880.0000.0000.3540.0000.0000.0000.0000.0000.0000.0540.0000.0000.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.1420.0000.0000.3280.3110.3270.1691.0001.0001.0001.0001.0001.0001.0001.0001.000
goals_against1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.000
shots_on_target_against1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.000
saves1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.000
save_pct1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.000
clean_sheets1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.000
clean_sheets_pct1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.0000.000
crosses_into_penalty_area0.3600.0000.0000.0000.3161.0000.5770.6851.0000.5770.6850.7640.5770.3540.8660.0001.0001.0001.0000.0000.6610.3161.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.5770.6610.3600.3160.5771.0000.1671.0000.0000.0000.0000.0000.0000.0001.0000.000
errors0.2960.0000.0000.0000.0000.0000.2090.0000.4290.4140.4140.0000.0000.4290.2850.0000.0000.0000.0000.0000.0000.0000.0000.4370.5390.0000.0000.3010.5820.2900.2900.1250.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.3160.0001.0000.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2023-05-09T12:07:47.933336image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-05-09T12:07:48.419048image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-05-09T12:07:48.940588image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idplayernationpossquadagebornmatches_playedstartsminutesgoalsassistsyellow_cardred_cardxGnpxGxAGPrgCPrgPPrgRgoals_againstshots_on_target_againstsavessave_pctclean_sheetsclean_sheets_pctpenalty_kicks_againstpenalty_kicks_savedpenalty_kicks_missedpasses_completedpassed_attemptedpasses_completed_pcttotal_passing_distanceprogressive_passing_distancekey_passesfinal_third_passespasses_into_penalty_areacrosses_into_penalty_areatacklesattemptstackles_pctchallenges_lostblocksshots_blockedpasses_blockedinterceptionsclearserrorsshotsshots_on_targetshots_on_target_pctgoals_per_shot_on_targetgoals_per_shotgoals_per_90assists_per_90goals_and_assists_per_90xG_per_90npxG_per_90
0238Gregor KobelSUIGKDortmund2519972424216000000.00.00.000028.0107.080.073.810.041.70.00.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0000000.0000000.0000000.0000000.000000
1295Alexander MeyerGERGKDortmund3219917763000000.00.00.001012.032.020.062.51.014.30.00.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0000000.0000000.0000000.0000000.000000
242Jude BellinghamENGMFDortmund1920033029260174807.07.03.991242134NaNNaNNaNNaNNaNNaNNaNNaNNaN1289.01584.081.422608.07020.032.0182.044.03.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.2422150.1384080.3806230.2422150.242215
355Julian BrandtGERMFDortmund2719962926217988204.14.18.852104187NaNNaNNaNNaNNaNNaNNaNNaNNaN959.01246.077.014895.03735.064.051.036.07.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.3304270.3304270.6608540.1693440.169344
472Emre CanGERMFDortmund2919942417163021701.30.50.723759NaNNaNNaNNaNNaNNaNNaNNaNNaN950.01066.089.117155.04978.013.079.04.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.1104290.0552150.1656440.0717790.027607
590Mahmoud DahoudGERMFDortmund2719969433700100.40.40.55254NaNNaNNaNNaNNaNNaNNaNNaNNaN213.0259.082.23941.01179.04.025.01.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0000000.0000000.0000000.1068250.106825
6337Salih ÖzcanTURMFDortmund2519982417152501600.20.20.467521NaNNaNNaNNaNNaNNaNNaNNaNNaN835.0951.087.813273.03724.07.073.05.01.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0000000.0590160.0590160.0118030.011803
7343Marco PašalićCROMFDortmund222000101100000.00.00.0232NaNNaNNaNNaNNaNNaNNaNNaNNaN6.07.085.769.032.00.02.00.00.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.0000000.0000000.0000000.0000000.000000
8375Marco ReusGERMFDortmund3319892214126864404.63.82.1303773NaNNaNNaNNaNNaNNaNNaNNaNNaN408.0515.079.25314.01235.018.022.07.01.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.4258680.2839120.7097790.3264980.269716
985Soumaïla CoulibalyFRADFDortmund192003104500000.00.00.0060NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaN0.00.00.00.00.00.01.0NaNNaNNaNNaNNaN0.0000000.0000000.0000000.0000000.000000
idplayernationpossquadagebornmatches_playedstartsminutesgoalsassistsyellow_cardred_cardxGnpxGxAGPrgCPrgPPrgRgoals_againstshots_on_target_againstsavessave_pctclean_sheetsclean_sheets_pctpenalty_kicks_againstpenalty_kicks_savedpenalty_kicks_missedpasses_completedpassed_attemptedpasses_completed_pcttotal_passing_distanceprogressive_passing_distancekey_passesfinal_third_passespasses_into_penalty_areacrosses_into_penalty_areatacklesattemptstackles_pctchallenges_lostblocksshots_blockedpasses_blockedinterceptionsclearserrorsshotsshots_on_targetshots_on_target_pctgoals_per_shot_on_targetgoals_per_shotgoals_per_90assists_per_90goals_and_assists_per_90xG_per_90npxG_per_90
20498Marius WolfGERDFDortmund2719952214134511101.11.12.65175118NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN14.026.053.812.034.09.025.017.022.01.0NaNNaNNaNNaNNaN0.0669140.0669140.1338290.0736060.073606
213Karim AdeyemiGERFWDortmund2120022117118665804.73.93.64245118NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN32.013.040.60.460.190.4553120.3794270.8347390.3566610.295953
2268Jamie Bynoe-GittensENGFWDortmund18200415453331102.42.40.724938NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN24.011.045.80.270.130.5065670.1688560.6754220.4052530.405253
23174Sébastien HallerCIVFWDortmund281994161296753105.15.12.251752NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN20.013.065.00.380.250.4653570.2792140.7445710.4746640.474664
24180Thorgan HazardBELFWDortmund30199314246400101.31.30.9212850NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN8.03.037.50.000.000.0000000.0000000.0000000.2521550.252155
25278Donyell MalenNEDFWDortmund2419992319148784007.37.33.47448154NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN50.026.052.00.310.160.4841960.2420980.7262950.4418290.441829
26299Anthony ModesteFRAFWDortmund35198818780221404.34.31.13735NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN23.010.043.50.200.090.2244390.1122190.3366580.4825440.482544
27303Youssoufa MoukokoGERFWDortmund1820042411108473006.36.31.271155NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN33.019.057.60.370.210.5811810.2490770.8302580.5230630.523063
28318Justin NjinmahGERFWDortmund222000102200000.00.00.0104NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN0.00.0NaNNaNNaN0.0000000.0000000.0000000.0000000.000000
29377Gio ReynaUSAFWDortmund20200219457460203.12.31.0202250NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN18.08.044.40.630.280.9407670.0000000.9407670.4860630.360627